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CODE 86799
ACADEMIC YEAR 2022/2023
CREDITS
SCIENTIFIC DISCIPLINARY SECTOR ING-INF/05
LANGUAGE English
TEACHING LOCATION
  • GENOVA
SEMESTER 1° Semester
TEACHING MATERIALS AULAWEB

OVERVIEW

The course aims to provide knowledge on issues related to the implementation of distributed processing systems with high scalability and reliability.

AIMS AND CONTENT

LEARNING OUTCOMES

The course aims to provide an understanding of the principles on which the Internet and other distributed systems are based; their architecture, algorithms and design; and how they meet the demands of contemporary distributed applications. 1. Distributed systems characterization 2. Coordination of distributed systems Physical and logical clock synchronization Distributed mutual exclusion Election algorithms and protocols 3. Consistency of distributed systems Data centric systems Client centric systems Consistency protocols 4. Resilience of distributed systems Distributed process pooling and resilience Reliable distributed communication services Distributed operation commit Recovery of faulty systems 5. Case studies Hyperledger permissioned blockchains Google distributed storage and computation In memory Distributed Data Store Office online collaboration platforms

AIMS AND LEARNING OUTCOMES

At the end of the course the student will be able to face the design and implementation of complex distributed systems both on public and private frameworks and the design of systems and applications based on highly scalable and reliable IT platforms.

TEACHING METHODS

Lessons and lab work

SYLLABUS/CONTENT

Essential Content:

1. Distributed systems characterization

2. Coordination of distributed systems

  • Physical and logical clock synchronization
  • Distributed mutual exclusion
  • Election algorithms and protocols

3. Consistency of distributed systems

  • Data centric systems
  • Client centric systems
  • Consistency protocols

4. Resilience of distributed systems

  • Distributed process pooling and resilience
  • Reliable distributed communication services
  • Distributed operation commit
  • Recovery of faulty systems

5. Case studies

  • Hyperledger permissioned blockchains
  • Google distributed storage and computation
  • In memory Distributed Data Store
  • Office online collaboration platforms

RECOMMENDED READING/BIBLIOGRAPHY

  • M. van Steen, A. tanenbaum,  Distributed Systems Third Ed. 2017
  • G. Coulouris, J. Dollimor, T. Kindberg, G. Blair, Distributed Systems: Concepts and Desing, 5th editionby 2012
  • additional documentation available thorugh aulaweb

TEACHERS AND EXAM BOARD

Exam Board

PIERPAOLO BAGLIETTO (President)

MAURO MIGLIARDI

GIANNI VIARDO VERCELLI

MASSIMO MARESCA (President Substitute)

LESSONS

Class schedule

L'orario di tutti gli insegnamenti è consultabile all'indirizzo EasyAcademy.

EXAMS

EXAM DESCRIPTION

lab work and oral discussion

ASSESSMENT METHODS

Ability to solve simple design and programming issues on the course topics

Knowledge of the topics discussed in the lesson and the ability to analyze and discuss the topics discussed

Exam schedule

Data Ora Luogo Degree type Note
12/01/2023 09:30 GENOVA Orale L'esame si svolge su appuntamento da richiedere e concordare con il docente via posta elettronica: pierpaolo.baglietto@unige.it
12/01/2023 09:30 GENOVA Esame su appuntamento L'esame si svolge su appuntamento da richiedere e concordare con il docente via posta elettronica: pierpaolo.baglietto@unige.it
09/02/2023 09:30 GENOVA Esame su appuntamento L'esame si svolge su appuntamento da richiedere e concordare con il docente via posta elettronica: pierpaolo.baglietto@unige.it
09/02/2023 09:30 GENOVA Orale L'esame si svolge su appuntamento da richiedere e concordare con il docente via posta elettronica: pierpaolo.baglietto@unige.it
12/06/2023 09:30 GENOVA Orale L'esame si svolge su appuntamento da richiedere e concordare con il docente via posta elettronica: pierpaolo.baglietto@unige.it
12/06/2023 09:30 GENOVA Esame su appuntamento L'esame si svolge su appuntamento da richiedere e concordare con il docente via posta elettronica: pierpaolo.baglietto@unige.it
14/07/2023 09:30 GENOVA Orale L'esame si svolge su appuntamento da richiedere e concordare con il docente via posta elettronica: pierpaolo.baglietto@unige.it
14/07/2023 09:30 GENOVA Esame su appuntamento L'esame si svolge su appuntamento da richiedere e concordare con il docente via posta elettronica: pierpaolo.baglietto@unige.it
08/09/2023 09:30 GENOVA Orale L'esame si svolge su appuntamento da richiedere e concordare con il docente via posta elettronica: pierpaolo.baglietto@unige.it
08/09/2023 09:30 GENOVA Esame su appuntamento L'esame si svolge su appuntamento da richiedere e concordare con il docente via posta elettronica: pierpaolo.baglietto@unige.it