Giovanni CICCARESE

Giovanni CICCARESE

Ricercatore Universitario

Settore Scientifico Disciplinare ING-INF/05: SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI.

Dipartimento di Ingegneria dell'Innovazione

Centro Ecotekne Pal. O - S.P. 6, Lecce - Monteroni - LECCE (LE)

Ufficio, Piano terra

Telefono +39 0832 29 7218

Orario di ricevimento

Il ricevimento studenti sarà svolto tramite la piattaforma Teams, sempre il mercoledì dalle 15:30 alle 18:00. Gli studenti che intendano utilizzare questa modalità possono contattarmi via email. Sarò poi io a chiamarli tramite Teams.

The student reception will be carried out through the Teams platform, always on Wednesdays from 15:30 to 18:00. Students who intend to use this mode can contact me by email. I will call them by Teams.

 

Visualizza QR Code Scarica la Visit Card

Curriculum Vitae

Giovanni Ciccarese ha conseguito il diploma di Laurea in Ingegneria Elettronica (indirizzo telecomunicazioni) presso il Politecnico di Torino nel 1989. Dal 1989 al 1994 ha svolto la libera professione nel settore impiantistico e dal 1993 ha avuto modo di collaborare con la Facoltà di Ingegneria di Lecce nei settori del System Management e del Network Management. Negli anni 1995 e 1996, usufruendo di una borsa CNR, ha rafforzato la sua esperienza nei suddetti settori e dal Luglio 1996 a Dicembre 2000 è stato, in qualità di Funzionario di Elaborazione Dati, responsabile della rete dati della Facoltà di Ingegneria di Lecce.
Da Gennaio 2001 è un ricercatore presso il Dipartimento di Ingegneria dell’Innovazione dell'Universita' del Salento.
Dall’ A.A.2001-2002 egli è il docente del corso di Reti di Calcolatori I nell’ambito del CdL in Ingegneria dell'Informazione.
Dall'A.A, 2004-2005 è il docente del corso di Reti di Calcolatori III nell'ambito del CdL specialistica in Ingegneria Informatica.

Dall'A.A. 2009/2010 all'A.A. 2010-2011: docente del corso di Modellazione di Reti e Protocolli nell'ambito del CdL Magistrale in Ingegneria Informatica

A.A. 2011/2012: docente del corso di Teoria e Modellazione dei Protocolli di Rete nell'ambito del CdL
Magistrale in Ingegneria Informatica
A.A. 2012/2013: docente del corso di Tecnologie di Rete nell'ambito del CdL Magistrale in Ingegneria
Informatica
Dall'A.A. 2013-2014: docente del corso di Network Technologies nell'ambito del CdL Magistrale in
Computer Engineering
La sua attività di ricerca è focalizzata sulla definizione e valutazione delle prestazioni di protocolli di comunicazione, con un’attenzione particolare ai protocolli per reti wireless.

Dall'A.A.. 2001-2002 all'A.A.. 2009-2010 egli è stato il docente del corso di Reti di Calcolatori I nell'ambito del CdL in Ingegneria dell'Informazione.

Dall' A.A.2010-2011 all'A.A. 2011-2012 è stato il docente del corso di Reti di Calcolatori (c.i.) nell'ambito del CdL in Ingegneria dell'Informazione.

Dall'A.A. 2004-2005 all'A.A. 2008-2009 è stato il docente del corso di Reti di Calcolatori III nell'ambito del CdL specialistica in Ingegneria Informatica.

Dall'A.A. 2009/2010 all'A.A. 2010-2011 è stato il docente del corso di Modellazione di Reti e Protocolli nell'ambito del CdL Magistrale in Ingegneria Informatica.

Nell'A.A. 2011/2012 è stato il docente del corso di Teoria e Modellazione dei Protocolli di Rete nell'ambito del CdL Magistrale in Ingegneria Informatica.

Nell'A.A. 2012/2013 è stato docente del corso di Tecnologie di Rete nell'ambito del CdL Magistrale in Ingegneria Informatica.

Dall'A.A. 2013-2014 è il docente del corso di Network Technologies nell'ambito del CdL Magistrale in Computer Engineering.

La sua attività di ricerca è focalizzata sulla definizione, modellazione e valutazione delle prestazioni di protocolli di comunicazione, con un’attenzione particolare ai protocolli per reti wireless.

Didattica

A.A. 2023/2024

TECNOLOGIE E PROGETTAZIONE DI RETI

Corso di laurea INGEGNERIA INFORMATICA

Tipo corso di studio Laurea Magistrale

Lingua ITALIANO

Crediti 9.0

Ripartizione oraria Ore totali di attività frontale: 81.0

Anno accademico di erogazione 2023/2024

Per immatricolati nel 2022/2023

Anno di corso 2

Struttura DIPARTIMENTO DI INGEGNERIA DELL'INNOVAZIONE

Percorso PERCORSO COMUNE

Sede Lecce

A.A. 2022/2023

NETWORK TECHNOLOGIES AND DESIGN

Degree course COMPUTER ENGINEERING

Course type Laurea Magistrale

Language INGLESE

Credits 9.0

Teaching hours Ore totali di attività frontale: 81.0

Year taught 2022/2023

For matriculated on 2021/2022

Course year 2

Structure DIPARTIMENTO DI INGEGNERIA DELL'INNOVAZIONE

Subject matter PERCORSO COMUNE

Location Lecce

A.A. 2021/2022

NETWORK TECHNOLOGIES AND DESIGN

Degree course COMPUTER ENGINEERING

Course type Laurea Magistrale

Language INGLESE

Credits 12.0

Teaching hours Ore totali di attività frontale: 108.0

Year taught 2021/2022

For matriculated on 2020/2021

Course year 2

Structure DIPARTIMENTO DI INGEGNERIA DELL'INNOVAZIONE

Subject matter PERCORSO COMUNE

Location Lecce

A.A. 2020/2021

NETWORK TECHNOLOGIES

Corso di laurea COMPUTER ENGINEERING

Tipo corso di studio Laurea Magistrale

Lingua ITALIANO

Crediti 9.0

Ripartizione oraria Ore totali di attività frontale: 81.0

Anno accademico di erogazione 2020/2021

Per immatricolati nel 2019/2020

Anno di corso 2

Struttura DIPARTIMENTO DI INGEGNERIA DELL'INNOVAZIONE

Percorso PERCORSO COMUNE

Sede Lecce

A.A. 2019/2020

NETWORK TECHNOLOGIES

Corso di laurea COMPUTER ENGINEERING

Tipo corso di studio Laurea Magistrale

Lingua ITALIANO

Crediti 9.0

Ripartizione oraria Ore totali di attività frontale: 81.0

Anno accademico di erogazione 2019/2020

Per immatricolati nel 2018/2019

Anno di corso 2

Struttura DIPARTIMENTO DI INGEGNERIA DELL'INNOVAZIONE

Percorso PERCORSO COMUNE

Sede Lecce

A.A. 2018/2019

NETWORK TECHNOLOGIES

Corso di laurea COMPUTER ENGINEERING

Tipo corso di studio Laurea Magistrale

Lingua ITALIANO

Crediti 9.0

Ripartizione oraria Ore totali di attività frontale: 81.0

Anno accademico di erogazione 2018/2019

Per immatricolati nel 2017/2018

Anno di corso 2

Struttura DIPARTIMENTO DI INGEGNERIA DELL'INNOVAZIONE

Percorso PERCORSO COMUNE

Sede Lecce

Torna all'elenco
TECNOLOGIE E PROGETTAZIONE DI RETI

Corso di laurea INGEGNERIA INFORMATICA

Settore Scientifico Disciplinare ING-INF/05

Tipo corso di studio Laurea Magistrale

Crediti 9.0

Ripartizione oraria Ore totali di attività frontale: 81.0

Per immatricolati nel 2022/2023

Anno accademico di erogazione 2023/2024

Anno di corso 2

Semestre Secondo Semestre (dal 04/03/2024 al 14/06/2024)

Lingua ITALIANO

Percorso PERCORSO COMUNE (999)

Sede Lecce

Fundamentals of Computer Networking, Probability Theory, Markov Chains

This course proposes the study of some fundamental aspects of the operation of modern computer networks, such as traffic control and quality of service, the support of wireless and mobile communications, security. The study includes the analysis of the network technologies which represent the state of the art on the above issues and a computer networks design methodology supported by a number of case studies which concern the selection of the most appropriate technologies depending on their operating contexts. Particularly, the criteria for designing network systems that meet given requirements in terms of performance, reliability and availability are discussed.

Learning Outcomes.

 

Knowledge and understanding

After the course the student should

- understand the main issues regarding the operation of a modern computer network and how they could be addressed in order to ensure appropriate delivery of the application services;

- know the technologies to be considered in designing a modern computer network and, particularly, understand how they address the aforementioned issues;

- know what techniques can be adopted to model and analytically evaluate performance, reliability and availability of network systems.

 

Applying knowledge and understanding

 

After the course the student should be able to

- design a computer network with given requirements, selecting the most appropriate technologies depending on the operating context;

- configure network devices in a campus network for high availability;

- understand scientific literature on the modeling of performance, reliability and availability of network systems.

 

Making judgements

Students should acquire the ability to identify the pros and cons of each possible solution for both the logical network design and the physical network design. This also applies to the probabilistic techniques described during the lectures with regard to the modeling of performance, reliability, and availability. It is desiderable that students are interested in looking for other techniques by consulting specialized literature.

 

Communication

After the course the student should have a good command of topics covered in the course, so as to be able to communicate his/her knowledge and solutions in a clear and simple way, using the specific terminology. The course promotes the development of that skill.

 

Learning skills

With the aim of developing learning skills that allow students to continue to study in a way that can be largely autonomous, the instructor suggests some selected technical readings whose level of difficulty is significantly higher than that associated with the exercises covered during the course. They deal with the definition of performance models and/or availability models of large, real-world systems.

Lectures and exercises.

The exam is oral. First, the student is asked to solve an exercise in order to verify his/her knowledge and understanding about the stochastic modeling of the performance, reliability and availability of network systems. The remaining part of the exam aims at assessing his/her knowledge and understanding about the issues related to the operation of modern computer networks, about the network technologies studied during the course and about the criteria for their selection in the network design process.  Moreover, the student may also be asked to configure some protocols, such as HSRP and RSTP, on the network devices of a campus network for high availability simulated by means of a visual network simulation tool.

Office Hours
On Wednesdays, from 15:30 to 18:00

Course content: theory

 

- Introduction to the course.

- Congestion Control and Traffic Control:  principles of congestion control, approaches towards congestion control, flow control and congestion control in TCP, TCP/IP ECN.

- Multicast in the Internet: algorithms for multicasting, multicast in the Internet (multicast addresses in IPv4, IGMP, multicast routing protocols).

- IPv6: IPv6 addressing, IPv6 packet format, ICMPv6, transition from IPv4 to IPv6.

- Quality of Service (QoS) in IP networks: multimedia networking applications, protocols for real-time conversational applications(RTP, RTCP,SIP), Quality of Service, Queuing Disciplines, Shaping, Policing, Tocken Bucket, QoS in IP networks (RED, IntServ, DiffServ), MPLS.

- Wireless and Mobile Networks: wireless channel characteristics, Wireless LANs and IEEE 802.11, CAPWAP, planning a wireless access network, Mobile IPv6, Vehicular Ad Hoc Networks  and IEEE 802.11p.

- Network Design: capacity planning, reliability, availability,switched LANs with redundant links (STP, RSTP), Virtual LANs, IEEE 802.1Q, Multiple Spanning Tree Protocol, Private Virtual LANs, Default Router redundancy (HSRP, VRRP, GLBP), Ipsec VPNs, top-down network design (design requirements, logical design, physical design, test plan and documentation).

 

Course content: exercises

On the design of modern computer networks
- A number of case studies which concern the selection of the most appropriate technologies depending on their operating contexts are
discussed. Moreover, configuration of network devices in a campus network for high availability is considered.
- By using some probabilistic techniques that are commonly employed for modeling computer networks and protocols (Markov Chains,
Reliability Block Diagrams, Queueing Theory), a number of examples dealing with modeling of performance, reliability and availability
of network systems are proposed.

[1] J. Kurose e K.W. Ross, “Computer Networking. A Top-Down Approach”, eighth edition, Pearson.
[2] P. Oppenheimer, “Top-Down Network Design”, third edition, Cisco Press.

[3] M. Baldi, P. Nicoletti, “Switched LAN”,   McGraw-Hill
[4] S. Convery, “Network Security Architecture”, Cisco Press.
[5] G. Bolch, S. Greiner, H. de Meer, K.S. Trivedi, "Queueing Networks and Markov Chains: Modeling and Performance Evaluation With Computer Science Applications", Wiley-Interscience.

[6] K. Trivedi, A. Bobbio, "Reliability and Availability Engineering: Modeling, Analysis, and Applications", Cambridge University Press.

[7] E. Bauer, E. Adams, “Reliability and Availability of Cloud Computing”, Wiley-IEEE Press

TECNOLOGIE E PROGETTAZIONE DI RETI (ING-INF/05)
NETWORK TECHNOLOGIES AND DESIGN

Degree course COMPUTER ENGINEERING

Subject area ING-INF/05

Course type Laurea Magistrale

Credits 9.0

Teaching hours Ore totali di attività frontale: 81.0

For matriculated on 2021/2022

Year taught 2022/2023

Course year 2

Semestre Secondo Semestre (dal 01/03/2023 al 09/06/2023)

Language INGLESE

Subject matter PERCORSO COMUNE (999)

Location Lecce

Fundamentals of Computer Networking, Probability Theory, Markov Chains

This course proposes the study of some fundamental aspects of the operation of modern computer networks, such as traffic control and quality of service, the support of wireless and mobile communications, security. The study includes the analysis of the network technologies which represent the state of the art on the above issues and a computer networks design methodology supported by a number of case studies which concern the selection of the most appropriate technologies depending on their operating contexts. Particularly, the criteria for designing network systems that meet given requirements in terms of performance, reliability and availability are discussed.

Learning Outcomes.

 

Knowledge and understanding

After the course the student should

- understand the main issues regarding the operation of a modern computer network and how they could be addressed in order to ensure appropriate delivery of the application services;

- know the technologies to be considered in designing a modern computer network and, particularly, understand how they address the aforementioned issues;

- know what techniques can be adopted to model and analytically evaluate performance, reliability and availability of network systems.

 

Applying knowledge and understanding

 

After the course the student should be able to

- design a computer network with given requirements, selecting the most appropriate technologies depending on the operating context;

- configure network devices in a campus network for high availability;

- understand scientific literature on the modeling of performance, reliability and availability of network systems.

 

Making judgements

Students should acquire the ability to identify the pros and cons of each possible solution for both the logical network design and the physical network design. This also applies to the probabilistic techniques described during the lectures with regard to the modeling of performance, reliability, and availability. It is desiderable that students are interested in looking for other techniques by consulting specialized literature.

 

Communication

After the course the student should have a good command of topics covered in the course, so as to be able to communicate his/her knowledge and solutions in a clear and simple way, using the specific terminology. The course promotes the development of that skill.

 

Learning skills

With the aim of developing learning skills that allow students to continue to study in a way that can be largely autonomous, the instructor suggests some selected technical readings whose level of difficulty is significantly higher than that associated with the exercises covered during the course. They deal with the definition of performance models and/or availability models of large, real-world systems.

Lectures and exercises.

The exam is oral. First, the student is asked to solve an exercise in order to verify his/her knowledge and understanding about the stochastic modeling of the performance, reliability and availability of network systems. The remaining part of the exam aims at assessing his/her knowledge and understanding about the issues related to the operation of modern computer networks, about the network technologies studied during the course and about the criteria for their selection in the network design process.  Moreover, the student may also be asked to configure some protocols, such as HSRP and RSTP, on the network devices of a campus network for high availability simulated by means of a visual network simulation tool.

Office Hours
On Wednesdays, from 15:30 to 18:00

Course content: theory

 

- Introduction to the course.

- Congestion Control and Traffic Control:  principles of congestion control, approaches towards congestion control, flow control and congestion control in TCP, TCP/IP ECN.

- Multicast in the Internet: algorithms for multicasting, multicast in the Internet (multicast addresses in IPv4, IGMP, multicast routing protocols).

- IPv6: IPv6 addressing, IPv6 packet format, ICMPv6, transition from IPv4 to IPv6.

- Quality of Service (QoS) in IP networks: multimedia networking applications, protocols for real-time conversational applications(RTP, RTCP,SIP), Quality of Service, Queuing Disciplines, Shaping, Policing, Tocken Bucket, QoS in IP networks (RED, IntServ, DiffServ), MPLS.

- Wireless and Mobile Networks: wireless channel characteristics, Wireless LANs and IEEE 802.11, CAPWAP, planning a wireless access network, Mobile IPv6, Vehicular Ad Hoc Networks  and IEEE 802.11p.

- Network Design: capacity planning, reliability, availability,switched LANs with redundant links (STP, RSTP), Virtual LANs, IEEE 802.1Q, Multiple Spanning Tree Protocol, Private Virtual LANs, Default Router redundancy (HSRP, VRRP, GLBP), Ipsec VPNs, top-down network design (design requirements, logical design, physical design, test plan and documentation).

 

Course content: exercises

On the design of modern computer networks
- A number of case studies which concern the selection of the most appropriate technologies depending on their operating contexts are
discussed. Moreover, configuration of network devices in a campus network for high availability is considered.
- By using some probabilistic techniques that are commonly employed for modeling computer networks and protocols (Markov Chains,
Reliability Block Diagrams, Queueing Theory), a number of examples dealing with modeling of performance, reliability and availability
of network systems are proposed.

[1] J. Kurose e K.W. Ross, “Computer Networking. A Top-Down Approach”, eighth edition, Pearson.
[2] P. Oppenheimer, “Top-Down Network Design”, third edition, Cisco Press.

[3] M. Baldi, P. Nicoletti, “Switched LAN”,   McGraw-Hill
[4] S. Convery, “Network Security Architecture”, Cisco Press.
[5] G. Bolch, S. Greiner, H. de Meer, K.S. Trivedi, "Queueing Networks and Markov Chains: Modeling and Performance Evaluation With Computer Science Applications", Wiley-Interscience.

[6] K. Trivedi, A. Bobbio, "Reliability and Availability Engineering: Modeling, Analysis, and Applications", Cambridge University Press.

[7] E. Bauer, E. Adams, “Reliability and Availability of Cloud Computing”, Wiley-IEEE Press

NETWORK TECHNOLOGIES AND DESIGN (ING-INF/05)
NETWORK TECHNOLOGIES AND DESIGN

Degree course COMPUTER ENGINEERING

Subject area ING-INF/05

Course type Laurea Magistrale

Credits 12.0

Teaching hours Ore totali di attività frontale: 108.0

For matriculated on 2020/2021

Year taught 2021/2022

Course year 2

Semestre Secondo Semestre (dal 01/03/2022 al 10/06/2022)

Language INGLESE

Subject matter PERCORSO COMUNE (999)

Location Lecce

Fundamentals of Computer Networking, Probability Theory, Markov Chains

This course proposes the study of some fundamental aspects of the operation of modern computer networks, such as traffic control and quality of service, the support of wireless and mobile communications, security. The study includes the analysis of the network technologies which represent the state of the art on the above issues and a computer networks design methodology supported by a number of case studies which concern the selection of the most appropriate technologies depending on their operating contexts. Particularly, the criteria for designing network systems that meet given requirements in terms of performance, reliability and availability are discussed.

Learning Outcomes.

 

Knowledge and understanding

After the course the student should

- understand the main issues regarding the operation of a modern computer network and how they could be addressed in order to ensure appropriate delivery of the application services;

- know the technologies to be considered in designing a modern computer network and, particularly, understand how they address the aforementioned issues;

- know what techniques can be adopted to model and analytically evaluate performance, reliability and availability of network systems.

 

Applying knowledge and understanding

 

After the course the student should be able to

- design a computer network with given requirements, selecting the most appropriate technologies depending on the operating context;

- configure network devices in a campus network for high availability;

- understand scientific literature on the modeling of performance, reliability and availability of network systems.

 

Making judgements

Students should acquire the ability to identify the pros and cons of each possible solution for both the logical network design and the physical network design. This also applies to the probabilistic techniques described during the lectures with regard to the modeling of performance, reliability, and availability. It is desiderable that students are interested in looking for other techniques by consulting specialized literature.

 

Communication

After the course the student should have a good command of topics covered in the course, so as to be able to communicate his/her knowledge and solutions in a clear and simple way, using the specific terminology. The course promotes the development of that skill.

 

Learning skills

With the aim of developing learning skills that allow students to continue to study in a way that can be largely autonomous, the instructor suggests some selected technical readings whose level of difficulty is significantly higher than that associated with the exercises covered during the course. They deal with the definition of performance models and/or availability models of large, real-world systems.

Lectures and exercises.

The exam is oral. First, the student is asked to solve an exercise in order to verify his/her knowledge and understanding about the stochastic modeling of the performance, reliability and availability of network systems. The remaining part of the exam aims at assessing his/her knowledge and understanding about the issues related to the operation of modern computer networks, about the network technologies studied during the course and about the criteria for their selection in the network design process.  Moreover, the student may also be asked to configure some protocols, such as HSRP and RSTP, on the network devices of a campus network for high availability simulated by means of a visual network simulation tool.

Office Hours
On Wednesdays, from 15:30 to 18:00

Course content: theory

 

- Introduction to the course

- Congestion Control and Traffic Control:  principles of congestion control, approaches towards congestion control, flow control and congestion control in TCP, TCP/IP ECN.

- Multicast in the Internet: algorithms for multicasting, multicast in the Internet (multicast addresses in IPv4, IGMP, multicast routing protocols).

- IPv6: IPv6 addressing, stateless address autoconfiguration, IPv6 packet format, ICMPv6.

- Quality of Service (QoS) in IP networks: multimedia networking applications, protocols for real-time conversational applications(RTP, RTCP,SIP), Quality of Service, Queuing Disciplines, Shaping, Policing, Tocken Bucket, QoS in IP networks (RED, IntServ, DiffServ), MPLS.

- Wireless and Mobile Networks: wireless channel characteristics, Wireless LANs and IEEE 802.11, IEEE 802.11e, CAPWAP, planning a wireless access network, Mobile IP, Vehicular Ad Hoc Networks.

- Network Design: capacity planning, reliability, availability,switched LANs with redundant links (STP, RSTP), Virtual LANs, IEEE 802.1Q, Multiple Spanning Tree Protocol, Default Router redundancy (HSRP, VRRP, GLBP), Ipsec VPNs, top-down network design (design requirements, logical design, physical design, test plan and documentation), data center networks, VXLAN (Virtual eXtensible LAN), SDN (Software Defined Networking).

 

Course content: exercises

On the design of modern computer networks
- A number of case studies which concern the selection of the most appropriate technologies depending on their operating contexts are
discussed. Moreover, configuration of network devices in a campus network for high availability is considered.
- By using some probabilistic techniques that are commonly employed for modeling computer networks and protocols (Reliability Block Diagrams, Markov Chains, Queueing Theory), a number of examples dealing with modeling of performance, reliability and availability of network systems are proposed.

[1] J. Kurose e K.W. Ross, “Computer Networking. A Top-Down Approach”, seventh edition, Pearson Addison-Wesley.
[2] P. Oppenheimer, “Top-Down Network Design”, third edition, Cisco Press.
[3] S. Convery, “Network Security Architecture”, Cisco Press.
[4] G. Bolch, S. Greiner, H. de Meer, K.S. Trivedi, "Queueing Networks and Markov Chains: Modeling and Performance Evaluation With Computer Science Applications", Wiley-Interscience.

[5] K. Trivedi, A. Bobbio, "Reliability and Availability Engineering: Modeling, Analysis, and Applications", Cambridge University Press.

NETWORK TECHNOLOGIES AND DESIGN (ING-INF/05)
NETWORK TECHNOLOGIES

Corso di laurea COMPUTER ENGINEERING

Settore Scientifico Disciplinare ING-INF/05

Tipo corso di studio Laurea Magistrale

Crediti 9.0

Ripartizione oraria Ore totali di attività frontale: 81.0

Per immatricolati nel 2019/2020

Anno accademico di erogazione 2020/2021

Anno di corso 2

Semestre Secondo Semestre (dal 01/03/2021 al 11/06/2021)

Lingua ITALIANO

Percorso PERCORSO COMUNE (999)

Sede Lecce

Fundamentals of Computer Networking, Probability Theory, Markov Chains

This course proposes the study of some fundamental aspects of the operation of modern computer networks, such as traffic control and quality of service, the support of wireless and mobile communications, security. The study includes the analysis of the network technologies which represent the state of the art on the above issues and a computer networks design methodology supported by a number of case studies which concern the selection of the most appropriate technologies depending on their operating contexts. Particularly, the criteria for designing network systems that meet given requirements in terms of performance, reliability and availability are discussed.

Learning Outcomes.

 

Knowledge and understanding

After the course the student should

- understand the main issues regarding the operation of a modern computer network and how they could be addressed in order to ensure appropriate delivery of the application services;

- know the technologies to be considered in designing a modern computer network and, particularly, understand how they address the aforementioned issues;

- know what techniques can be adopted to model and analytically evaluate performance, reliability and availability of network systems.

 

Applying knowledge and understanding

 

After the course the student should be able to

- design a computer network with given requirements, selecting the most appropriate technologies depending on the operating context;

- configure network devices in a campus network for high availability;

- understand scientific literature on the modeling of performance, reliability and availability of network systems.

 

Making judgements

Students should acquire the ability to identify the pros and cons of each possible solution for both the logical network design and the physical network design. This also applies to the probabilistic techniques described during the lectures with regard to the modeling of performance, reliability, and availability. It is desiderable that students are interested in looking for other techniques by consulting specialized literature.

 

Communication

After the course the student should have a good command of topics covered in the course, so as to be able to communicate his/her knowledge and solutions in a clear and simple way, using the specific terminology. The course promotes the development of that skill.

 

Learning skills

With the aim of developing learning skills that allow students to continue to study in a way that can be largely autonomous, the instructor suggests some selected technical readings whose level of difficulty is significantly higher than that associated with the exercises covered during the course. They deal with the definition of performance models and/or availability models of large, real-world systems.

Lectures and exercises.

The exam is oral. First, the student is asked to solve an exercise in order to verify his/her knowledge and understanding about the stochastic modeling of the performance, reliability and availability of network systems. The remaining part of the exam aims at assessing his/her knowledge and understanding about the issues related to the operation of modern computer networks, about the network technologies studied during the course and about the criteria for their selection in the network design process.  Moreover, the student may also be asked to configure some protocols, such as HSRP and RSTP, on the network devices of a campus network for high availability simulated by means of a visual network simulation tool.

Office Hours
On Wednesdays, from 15:30 to 18:00

Course content: theory

 

- Introduction to the course (2 hours)

- Congestion Control and Traffic Control:  principles of congestion control, approaches towards congestion control, flow control and congestion control in TCP, TCP/IP ECN. (4 hours)

- Multicast in the Internet: algorithms for multicasting, multicast in the Internet (multicast addresses in IPv4, IGMP, multicast routing protocols) (2 hours).

- IPv6: IPv6 addressing, stateless address autoconfiguration, IPv6 packet format, ICMPv6, transition from IPv4 to IPv6 (4 hours).

- Quality of Service (QoS) in IP networks: multimedia networking applications, protocols for real-time conversational applications(RTP, RTCP,SIP), Quality of Service, Queuing Disciplines, Shaping, Policing, Tocken Bucket, QoS in IP networks (RED, IntServ, DiffServ), MPLS (8 hours).

- Wireless and Mobile Networks: wireless channel characteristics, Wireless LANs and IEEE 802.11, CAPWAP, planning a wireless access network, Mobile IPv6, Vehicular Ad Hoc Networks  and IEEE 802.11p (10 hours).

- Network Design: capacity planning, reliability, availability,switched LANs with redundant links (STP, RSTP), Virtual LANs, IEEE 802.1Q, Multiple Spanning Tree Protocol, Virtual eXtensible LAN, Default Router redundancy (HSRP, VRRP, GLBP), Ipsec VPNs, top-down network design (design requirements, logical design, physical design, test plan and documentation) (18 hours).

 

Course content: exercises

On the design of modern computer networks (26 hours)
- A number of case studies which concern the selection of the most appropriate technologies depending on their operating contexts are
discussed. Moreover, configuration of network devices in a campus network for high availability is considered.
- By using some probabilistic techniques that are commonly employed for modeling computer networks and protocols (Reliability Block Diagrams, Markov Chains, Queueing Theory), a number of examples dealing with modeling of performance, reliability and availability
of network systems are proposed.

[1] J. Kurose e K.W. Ross, “Computer Networking. A Top-Down Approach”, seventh edition, Pearson Addison-Wesley.
[2] P. Oppenheimer, “Top-Down Network Design”, third edition, Cisco Press.
[3] S. Convery, “Network Security Architecture”, Cisco Press.
[4] G. Bolch, S. Greiner, H. de Meer, K.S. Trivedi, "Queueing Networks and Markov Chains: Modeling and Performance Evaluation With Computer Science Applications", Wiley-Interscience.

[5] K. Trivedi, A. Bobbio, "Reliability and Availability Engineering: Modeling, Analysis, and Applications", Cambridge University Press.

NETWORK TECHNOLOGIES (ING-INF/05)
NETWORK TECHNOLOGIES

Corso di laurea COMPUTER ENGINEERING

Settore Scientifico Disciplinare ING-INF/05

Tipo corso di studio Laurea Magistrale

Crediti 9.0

Ripartizione oraria Ore totali di attività frontale: 81.0

Per immatricolati nel 2018/2019

Anno accademico di erogazione 2019/2020

Anno di corso 2

Semestre Primo Semestre (dal 23/09/2019 al 20/12/2019)

Lingua ITALIANO

Percorso PERCORSO COMUNE (999)

Sede Lecce

Fundamentals of Computer Networking, Probability Theory, Markov Chains

This course proposes the study of some fundamental aspects of the operation of modern computer networks, such as traffic control and quality of service, the support of wireless and mobile communications, security. The study includes the analysis of the network technologies which represent the state of the art on the above issues and a computer networks design methodology supported by a number of case studies which concern the selection of the most appropriate technologies depending on their operating contexts. Particularly, the criteria for designing network systems that meet given requirements in terms of performance, reliability and availability are discussed.

Learning Outcomes.

 

Knowledge and understanding

After the course the student should

- understand the main issues regarding the operation of a modern computer network and how they could be addressed in order to ensure appropriate delivery of the application services;

- know the technologies to be considered in designing a modern computer network and, particularly, understand how they address the aforementioned issues;

- know what techniques can be adopted to model and analytically evaluate performance, reliability and availability of network systems.

 

Applying knowledge and understanding

 

After the course the student should be able to

- design a computer network with given requirements, selecting the most appropriate technologies depending on the operating context;

- configure network devices in a campus network for high availability;

- understand scientific literature on the modeling of performance, reliability and availability of network systems.

 

Making judgements

Students should acquire the ability to identify the pros and cons of each possible solution for both the logical network design and the physical network design. This also applies to the probabilistic techniques described during the lectures with regard to the modeling of performance, reliability, and availability. It is desiderable that students are interested in looking for other techniques by consulting specialized literature.

 

Communication

After the course the student should have a good command of topics covered in the course, so as to be able to communicate his/her knowledge and solutions in a clear and simple way, using the specific terminology. The course promotes the development of that skill.

 

Learning skills

With the aim of developing learning skills that allow students to continue to study in a way that can be largely autonomous, the instructor suggests some selected technical readings whose level of difficulty is significantly higher than that associated with the exercises covered during the course. They deal with the definition of performance models and/or availability models of large, real-world systems.

Lectures and exercises.

The exam is oral. First, the student is asked to solve an exercise in order to verify his/her knowledge and understanding about the stochastic modeling of the performance, reliability and availability of network systems. The remaining part of the exam aims at assessing his/her knowledge and understanding about the issues related to the operation of modern computer networks, about the network technologies studied during the course and about the criteria for their selection in the network design process.  Moreover, the student may also be asked to configure some protocols, such as HSRP and RSTP, on the network devices of a campus network for high availability simulated by means of a visual network simulation tool.

Office Hours
On Wednesdays, from 15:30 to 18:00

Course content: theory

 

- Introduction to the course ore (2 hours)

- Congestion Control and Traffic Control:  principles of congestion control, approaches towards congestion control, flow control and congestion control in TCP, TCP/IP ECN. (4 hours)

- Multicast in the Internet: algorithms for multicasting, multicast in the Internet (multicast addresses in IPv4, IGMP, multicast routing protocols) (2 hours).

- IPv6: IPv6 addressing, IPv6 packet format, ICMPv6, transition from IPv4 to IPv6 (4 hours).

- Quality of Service (QoS) in IP networks: multimedia networking applications, protocols for real-time conversational applications(RTP, RTCP,SIP), Quality of Service, Queuing Disciplines, Shaping, Policing, Tocken Bucket, QoS in IP networks (RED, IntServ, DiffServ), MPLS (8 hours).

- Wireless and Mobile Networks: wireless channel characteristics, Wireless LANs and IEEE 802.11, CAPWAP, planning a wireless access network, Mobile IPv6, Vehicular Ad Hoc Networks  and IEEE 802.11p (10 hours).

- Network Design: capacity planning, reliability, availability,switched LANs with redundant links (STP, RSTP), Virtual LANs, IEEE 802.1Q, Multiple Spanning Tree Protocol, Private Virtual LANs, Default Router redundancy (HSRP, VRRP, GLBP), Ipsec VPNs, top-down network design (design requirements, logical design, physical design, test plan and documentation) (18 hours).

 

Course content: exercises

On the design of modern computer networks (26 hours)
- A number of case studies which concern the selection of the most appropriate technologies depending on their operating contexts are
discussed. Moreover, configuration of network devices in a campus network for high availability is considered.
- By using some probabilistic techniques that are commonly employed for modeling computer networks and protocols (Markov Chains,
Reliability Block Diagrams, Queueing Theory), a number of examples dealing with modeling of performance, reliability and availability
of network systems are proposed.

[1] J. Kurose e K.W. Ross, “Computer Networking. A Top-Down Approach”, sixth edition, Pearson Addison-Wesley.
[2] P. Oppenheimer, “Top-Down Network Design”, third edition, Cisco Press.
[3] S. Convery, “Network Security Architecture”, Cisco Press.
[4] G. Bolch, S. Greiner, H. de Meer, K.S. Trivedi, "Queueing Networks and Markov Chains: Modeling and Performance Evaluation With Computer Science Applications", Wiley-Interscience.

[5] K. Trivedi, A. Bobbio, "Reliability and Availability Engineering: Modeling, Analysis, and Applications", Cambridge University Press.

NETWORK TECHNOLOGIES (ING-INF/05)
NETWORK TECHNOLOGIES

Corso di laurea COMPUTER ENGINEERING

Settore Scientifico Disciplinare ING-INF/05

Tipo corso di studio Laurea Magistrale

Crediti 9.0

Ripartizione oraria Ore totali di attività frontale: 81.0

Per immatricolati nel 2017/2018

Anno accademico di erogazione 2018/2019

Anno di corso 2

Semestre Primo Semestre (dal 24/09/2018 al 21/12/2018)

Lingua ITALIANO

Percorso PERCORSO COMUNE (999)

Sede Lecce

Fundamentals of Computer Networking, Probability Theory, Markov Chains

This course proposes the study of some fundamental aspects of the operation of modern computer networks, such as traffic control and quality of service, the support of wireless and mobile communications, security. The study includes the analysis of the network technologies which represent the state of the art on the above issues and a computer networks design methodology supported by a number of case studies which concern the selection of the most appropriate technologies depending on their operating contexts. Particularly, the criteria for designing network systems that meet given requirements in terms of performance, reliability and availability are discussed.

Learning Outcomes.

 

Knowledge and understanding

After the course the student should

- understand the main issues regarding the operation of a modern computer network and how they could be addressed in order to ensure appropriate delivery of the application services;

- know the technologies to be considered in designing a modern computer network and, particularly, understand how they address the aforementioned issues;

- know what techniques can be adopted to model and analytically evaluate performance, reliability and availability of network systems.

 

Applying knowledge and understanding

 

After the course the student should be able to

- design a computer network with given requirements, selecting the most appropriate technologies depending on the operating context;

- configure network devices in a campus network for high availability;

- understand scientific literature on the modeling of performance, reliability and availability of network systems.

 

Making judgements

Students should acquire the ability to identify the pros and cons of each possible solution for both the logical network design and the physical network design. This also applies to the probabilistic techniques described during the lectures with regard to the modeling of performance, reliability, and availability. It is desiderable that students are interested in looking for other techniques by consulting specialized literature.

 

Communication

After the course the student should have a good command of topics covered in the course, so as to be able to communicate his/her knowledge and solutions in a clear and simple way, using the specific terminology. The course promotes the development of that skill.

 

Learning skills

With the aim of developing learning skills that allow students to continue to study in a way that can be largely autonomous, the instructor suggests some selected technical readings whose level of difficulty is significantly higher than that associated with the exercises covered during the course. They deal with the definition of performance models and/or availability models of large, real-world systems.

Lectures and exercises.

The exam is oral. First, the student is asked to solve an exercise in order to verify his/her knowledge and understanding about the stochastic modeling of the performance, reliability and availability of network systems. The remaining part of the exam aims at assessing his/her knowledge and understanding about the issues related to the operation of modern computer networks, about the network technologies studied during the course and about the criteria for their selection in the network design process.  Moreover, the student may also be asked to configure some protocols, such as HSRP and RSTP, on the network devices of a campus network for high availability simulated by means of a visual network simulation tool.

Office Hours
On Wednesdays, from 15:30 to 18:00

Course content: theory

 

- Introduction to the course ore (2 hours)

- Congestion Control and Traffic Control:  principles of congestion control, approaches towards congestion control, flow control and congestion control in TCP, TCP/IP ECN. (4 hours)

- Multicast in the Internet: algorithms for multicasting, multicast in the Internet (multicast addresses in IPv4, IGMP, multicast routing protocols) (2 hours).

- IPv6: IPv6 addressing, IPv6 packet format, ICMPv6, transition from IPv4 to IPv6 (4 hours).

- Quality of Service (QoS) in IP networks: multimedia networking applications, protocols for real-time conversational applications(RTP, RTCP,SIP), Quality of Service, Queuing Disciplines, Shaping, Policing, Tocken Bucket, QoS in IP networks (RED, IntServ, DiffServ), MPLS (8 hours).

- Wireless and Mobile Networks: wireless channel characteristics, Wireless LANs and IEEE 802.11, CAPWAP, planning a wireless access network, Mobile IPv6, Vehicular Ad Hoc Networks  and IEEE 802.11p (10 hours).

- Network Design: capacity planning, reliability, availability,switched LANs with redundant links (STP, RSTP), Virtual LANs, IEEE 802.1Q, Multiple Spanning Tree Protocol, Private Virtual LANs, Default Router redundancy (HSRP, VRRP, GLBP), top-down network design (design requirements, logical design, physical design, test plan and documentation) (18 hours).

 

Course content: exercises

On the design of modern computer networks (26 hours)
- A number of case studies which concern the selection of the most appropriate technologies depending on their operating contexts are
discussed. Moreover, configuration of network devices in a campus network for high availability is considered.
- By using some probabilistic techniques that are commonly employed for modeling computer networks and protocols (Markov Chains,
Reliability Block Diagrams, Queueing Theory), a number of examples dealing with modeling of performance, reliability and availability
of network systems are proposed.

[1] J. Kurose e K.W. Ross, “Computer Networking. A Top-Down Approach”, sixth edition, Pearson Addison-Wesley.
[2] P. Oppenheimer, “Top-Down Network Design”, third edition, Cisco Press.
[3] S. Convery, “Network Security Architecture”, Cisco Press.
[4] G. Bolch, S. Greiner, H. de Meer, K.S. Trivedi, "Queueing Networks and Markov Chains: Modeling and Performance Evaluation With Computer Science Applications", Wiley-Interscience.

[5] K. Trivedi, A. Bobbio, "Reliability and Availability Engineering: Modeling, Analysis, and Applications", Cambridge University Press.

NETWORK TECHNOLOGIES (ING-INF/05)
NETWORK TECHNOLOGIES

Corso di laurea COMPUTER ENGINEERING

Settore Scientifico Disciplinare ING-INF/05

Tipo corso di studio Laurea Magistrale

Crediti 9.0

Ripartizione oraria Ore totali di attività frontale: 81.0

Per immatricolati nel 2016/2017

Anno accademico di erogazione 2017/2018

Anno di corso 2

Semestre Primo Semestre (dal 25/09/2017 al 22/12/2017)

Lingua ITALIANO

Percorso PERCORSO COMUNE (999)

Sede Lecce

Fundamentals of Computer Networking, Probability Theory, Markov Chains

This course proposes the study of some fundamental aspects of the operation of modern computer networks, such as traffic control and quality of service, the support of wireless and mobile communications, security. The study includes the analysis of the network technologies which represent the state of the art on the above issues and a computer networks design methodology supported by a number of case studies which concern the selection of the most appropriate technologies depending on their operating contexts. Particularly, the criteria for designing network systems that meet given requirements in terms of performance, reliability and availability are discussed.

After the course the student should
- understand how performance, reliability and availability of network systems can be modeled.
- be able to design a computer network with given requirements and to configure network devices in a campus network for high availability

Oral

- Introduction to the course. (2 hours)

- Congestion Control and Traffic Control:  principles of congestion control, approaches towards congestion control, flow control and congestion control in TCP, TCP/IP ECN. (4 hours)

- Multicast in the Internet: algorithms for multicasting, multicast in the Internet (multicast addresses in IPv4, IGMP, multicast routing protocols) (2 hours).

- IPv6: IPv6 addressing, IPv6 packet format, ICMPv6, transition from IPv4 to IPv6 (4 hours).

- Quality of Service (QoS) in IP networks: multimedia networking applications, protocols for real-time conversational applications(RTP, RTCP,SIP), Quality of Service, Queuing Disciplines, Shaping, Policing, Tocken Bucket, QoS in IP networks (RED, IntServ, DiffServ), MPLS (8 hours).

- Wireless and Mobile Networks: wireless channel characteristics, Wireless LANs and IEEE 802.11, CAPWAP, planning a wireless access network, Mobile IPv6, Vehicular Ad Hoc Networks  and IEEE 802.11p (10 hours).

- Network Design: capacity planning, reliability, availability,switched LANs with redundant links (STP, RSTP), Virtual LANs, IEEE 802.1Q, Multiple Spanning Tree Protocol, Private Virtual LANs, Default Router redundancy (HSRP, VRRP, GLBP), top-down network design (design requirements, logical design, physical design, test plan and documentation) (18 hours).

[1] J. Kurose e K.W. Ross, “Computer Networking. A Top-Down Approach”, sixth edition, Pearson Addison-Wesley.
[2] B.A. Forouzan, “Data Communications and Networking”, fifth edition, McGraw-Hill.
[3] P. Oppenheimer, “Top-Down Network Design”, third edition, Cisco Press.
[4] S. Convery, “Network Security Architecture”, Cisco Press.
[5] G. Bolch, S. Greiner, H. de Meer, K.S. Trivedi, "Queueing Networks and Markov Chains: Modeling and Performance Evaluation With Computer Science Applications", Wiley-Interscience.

NETWORK TECHNOLOGIES (ING-INF/05)
NETWORK TECHNOLOGIES

Corso di laurea COMPUTER ENGINEERING

Settore Scientifico Disciplinare ING-INF/05

Tipo corso di studio Laurea Magistrale

Crediti 9.0

Ripartizione oraria Ore totali di attività frontale: 81.0

Per immatricolati nel 2015/2016

Anno accademico di erogazione 2016/2017

Anno di corso 2

Semestre Primo Semestre (dal 26/09/2016 al 22/12/2016)

Lingua ITALIANO

Percorso PERCORSO COMUNE (999)

Sede Lecce

NETWORK TECHNOLOGIES (ING-INF/05)
NETWORK TECHNOLOGIES

Corso di laurea COMPUTER ENGINEERING

Settore Scientifico Disciplinare ING-INF/05

Tipo corso di studio Laurea Magistrale

Crediti 9.0

Ripartizione oraria Ore totali di attività frontale: 0.0

Per immatricolati nel 2014/2015

Anno accademico di erogazione 2015/2016

Anno di corso 2

Semestre Primo Semestre (dal 21/09/2015 al 18/12/2015)

Lingua

Percorso PERCORSO COMUNE (999)

Sede Lecce - Università degli Studi

NETWORK TECHNOLOGIES (ING-INF/05)
NETWORK TECHNOLOGIES

Corso di laurea COMPUTER ENGINEERING

Settore Scientifico Disciplinare ING-INF/05

Tipo corso di studio Laurea Magistrale

Crediti 9.0

Ripartizione oraria Ore totali di attività frontale: 0.0

Per immatricolati nel 2013/2014

Anno accademico di erogazione 2014/2015

Anno di corso 2

Semestre Primo Semestre (dal 29/09/2014 al 13/01/2015)

Lingua

Percorso PERCORSO COMUNE (999)

Sede Lecce - Università degli Studi

NETWORK TECHNOLOGIES (ING-INF/05)

Tesi

In external companies

  • Virtual Open Systems (Grenoble, France)
  • Thesis proposals (and internships)  in collaboration with Nardò Technical Center - Porsche Engineering  and Tesys s.r.l. - Traffic Engineering Systems on the "Design and testing of automotive safety solutions based on vehicular networks and integration with the infrastructure.
  • Thesis in collaboration with N&C-System Integrator on the following topic: "Design and implementation of  an ad-hoc indoor position system based on  the IEEE 802.11ax standard".

Pubblicazioni

Elenco delle Pubblicazioni a conferenze

 

1)  L. Lo Presti, M. Mondin, G. Ciccarese, A. Fanigliulo " On the Design of FIR Transmit-Receive Filter Pairs with Raised Cosine Transfer Function ".

Twenty-Fourth Annual Conference on Information Sciences and Systems

Princeton University, March 21-23 1990

 

2)      L. Casone, G. Ciccarese, M. De Blasi, L. Patrono, G. Tomasicchio, “The Mobility in EuroSkyWay Network: a Data Link ARQ Protocol”, Proc. IST Communications Summit 2001, 9-12 Sept. 2001, Barcelona, Spain. (pp. 95-101)

 

3)      L. Casone, G. Ciccarese, M. De Blasi, L. Patrono, “Throughput of TCP using a data link ARQ protocol over a mobile satellite channel”, Proc. IEEE SOFTCOM 2001, 9-12 Oct. 2001. (pp. 359-368)

 

4)      L. Casone, G. Ciccarese, M. De Blasi, L. Patrono, G. Tomasicchio, “An Efficient ARQ Protocol for a Mobile Geo-stationary Satellite Channel”, Proc. IEEE GLOBECOM 2001, 24-29 Nov. 2001, San Antonio, Texas.

 

5)      A. Carletti, A. Pandolfi, G. Ciccarese, M. De Blasi, L. Patrono, G. Tomasicchio, “Defining an Up-Link Path Power Control for a Ka-Band Geo-stationary Satellite Network”, ICT – 8th Ka Band Utilization Conference, Sept. 2002, Stresa and Lake Maggiore, Italy.

 

6)      G. Ciccarese, M. De Blasi, L. Patrono, G. Tomasicchio, “Impact of the Internet Congestion on the Performance of the TCP using Data Link-Layer Error Control in a Mobile Environment”, Proc. IEEE SOFTCOM 2002, 8-11 Oct. 2002, Italy/Croatia.

 

7)      A. Carletti, G. Ciccarese, M. De Blasi, L. Patrono, G. Tomasicchio, “TCP Goodput in Ka-Band Satellite Channel with Scintillation and Rain Attenuation”, Proc. IEEE SOFTCOM 2002, 8-11 Oct. 2002, Italy/Croatia.

 

8)      G. Ciccarese, M. De Blasi, L. Patrono, A. Palmieri, G. Tomasicchio, “Improving HTTP performance in a mobile terrestrial-satellite network”, 9th Ka Band and Broadband Communications Conference, Lacco Ameno (Island of Ischia), Italy, November 2003.

 

9)      G. Ciccarese, M. De Blasi, L. Patrono, S. Elia, G. Tomasicchio, “A Performance Enhancing Proxy for mobile satellite Internet”, The Fifth IEEE International Conference on Mobile and Wireless Communications Networks, Singapore, October 2003.

 

10)      G. Ciccarese, M. De Blasi, L. Patrono, P. Marra, G. Tomasicchio, “An IPSEC-aware TCP PEP for integrated Mobile Satellite Networks”, The 15th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2004), September 2004, Barcelona. Spain.

 

11) G. Ciccarese, M. De Blasi, L. Patrono, L. Blandolino, G. Tomasicchio, “MAC Layer QoS Mechanisms for a Geostationary Satellite Network”, 10th Ka Band and Broadband Communications Conference, Italy, October 2004.

 

12) G. Ciccarese, M. De Blasi, L. Patrono, S. Elia, L. Secondiani, “Interworking with TCP/IP protocol suite in Skyplex Satellite Networks”, 10th Ka Band and Broadband Communications Conference, Italy, October 2004.

 

13) G. Ciccarese, M. De Blasi, L. Patrono, C. Palazzo, G. Tomasicchio, “A MAC Scheduling Mechanism in SkyplexNet Satellite Networks”, Proc. 23rd AIAA International Communications Satellite Systems Conference- ICSSC 2005, 25-28 Sept. 2005, Rome, Italy.

 

14) G. Ciccarese, M. De Blasi, L. Patrono, C. Palazzo, S. Elia, “TCP Performance over Wireless MAN IEEE 802.16e”, Proc. IEEE SOFTCOM 2005, 15-17 Sept. 2005, Split, Croatia.

 

15) G. Ciccarese, M. De Blasi, L. Patrono, C. Palazzo, S. Elia, G. Convertino, “A Novel APSD Scheduler for WLAN IEEE 802.11e”, Proc. IEEE International Conference on “COMMUNICATION SYSTEMS, NETWORKS AND DIGITAL SIGNAL PROCESSING” – CSNDSP06, 19-21 July 2006, Patras, Grece.

 

16) Giovanni Ciccarese, Mario De Blasi, Pierluigi Marra, Cosimo Palazzo, Luigi Patrono, “An adaptive ARQ Protocol for IEEE 802.16e”, IEEE Symposium on Computers and Communications (ISCC'07), 1-4 July 2007, Aviero, Portugal.

 

 

17) Giovanni Ciccarese, Mario De Blasi, Pierluigi Marra, Cosimo Palazzo, Luigi Patrono, “A packet size control algorithm for IEEE 802.16e”, IEEE Wireless Communications & Networking Conference (WCNC 2008), 31 March- 4 April 2008, Las Vegas, Nevada, USA.

 

18) Giovanni Ciccarese, Mario De Blasi, Pierluigi Marra, Cosimo Palazzo, Luigi Patrono, "On the use of control packets for intelligent flooding in VANETs", IEEE Wireless Communications & Networking Conference (WCNC 2009), 5-8 April 2009, Budapest, Hungary.

 

19) G. Ciccarese, M. De Blasi, P. Marra, V. Mighali, C. Palazzo, L. Patrono, and M. L. Stefanizzi ,“Vertical Handover Algorithm for Heterogeneous Wireless Networks”, Proc. of International Joint Conference on INC, IMS and IDC (NCM2009), August 25 - 27, 2009, Seoul, Korea.

 

20) L. Anchora, L. Casone, G. Ciccarese, M. De Blasi, P. Marra, C. Palazzo, “An optimal setting for the parameters of an intelligent flooding scheme in VANETs”, European Wireless (EW 2010) – pp. 332-338, April 12-15, 2010, Lucca, Italy.

 

21) G. Ciccarese, T. Donateo, P. Marra, D. Pacella, C. Palazzo, “On the use of Vehicular Communications for Efficient Energy Management of Hybrid Electric Vehicles”, FISITA 2010, May 30-June 4, 2010, Budapest, Hungary.

 

22) G. Ciccarese, T. Donateo, P. Marra, D. Pacella, C. Palazzo, “On-Board Simulation of the Traffic Scenario for the Sustainable Mobility”, 4nd International Conference on Sustainable Energy & Environmental Protection (SEEP 2010), June 29-July 2, 2010, Bari, Italy.

 

23) G. Ciccarese, M. De Blasi, P. Marra, C. Palazzo, “A timer-based intelligent flooding scheme for VANETs” – 2nd International Workshop on Communication Technologies for Vehicles (Nets4Cars) in CSNDSP 2010, pp. 425-429, July 21-23, 2010, Newcastle, United Kingdom.

Elenco delle Pubblicazioni su rivista

 

1)  M. De Blasi, I. Pagliara, O. Marra, G. Ciccarese " Prolog Architectures ".

EC Newsletter, August 1994

 

2)  M. De Blasi, G. Ciccarese, O. Marra " Computer Networks and Internetworking ".

EC Newsletter, August 1995

 

3)      GIOVANNI CICCARESE, MARIO DE BLASI, SEBASTIANO ELIA, COSIMO PALAZZO, PATRONO L. (2007). LIFT: a Local IPSec-aware Freezing Protocol to improve TCP Performance in Satellite Networks. JOURNAL OF COMMUNICATION SOFTWARE AND SYSTEMS. vol. 2, pp. 347-355 ISSN: 1845-6421.

 

4)      G. CICCARESE, M. DE BLASI, PATRONO L., A. PALMIERI AND G. TOMASICCHIO. (2006). Improving HTTP Performance in a Mobile Satellite-Terrestrial Network. SPACE COMMUNICATIONS. vol. 20, pp. 121-127 ISSN: 0924-8625.

 

5) G. Ciccarese, M. De Blasi, P. Marra, C. Palazzo.( 2011). "A timer-based intelligent flooding scheme for VANETs", Int. Journal of Vehicle Information and Communication Systems (IJVICS), vol. 2, pp. 177-192, ISSN: 1471-0242

 

 

6) G. Ciccarese, M. De Blasi, P. Marra, C. Palazzo, L. Patrono. ( 2011). "An Algorithm for Controlling Packet Size in IEEE 802.16e Networks", Computer Networks, vol. 55, pp. 2873- 2885, ISSN 1389-1286

 

7) G. Ciccarese, T. Donateo, C. Palazzo (2012). On-Board Prediction of Future Driving Profile for the
Sustainable Mobility. INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY AND MANAGEMENT,
vol. 12 n.3, p. 232-251, ISSN: 1470-9511

 

Temi di ricerca

L’attività di ricerca è focalizzata sulle reti di comunicazione mobile sia "infrastructure-dependent" sia "infrastructureless" (Wireless Ad Hoc Networks) che si integrino con l’Internet terrestre in maniera del tutto trasparente agli utenti finali.
Le tematiche riguardano:
- la definizione e l’analisi delle prestazioni di protocolli di comunicazione per reti wireless i quali consentano di controllare e garantire i valori dei parametri di qualità del servizio richiesti dai flussi informativi "multimediali";
- lo studio di meccanismi avanzati per la gestione dinamica delle risorse;
- definizione e studio di protocolli per le reti di comunicazione veicolare;
- definizione e studio di protocolli per le Underwater Networks.