ENTERPRISE DIGITAL INFRASTRUCTURE
Stampa
Anno immatricolazione
2021/2022
Anno offerta
2021/2022
Normativa
DM270
SSD
ING-INF/05 (SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI)
Dipartimento
DIPARTIMENTO DI INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE
Corso di studio
COMPUTER ENGINEERING
Curriculum
Data Science
Anno di corso
Periodo didattico
Secondo Semestre (07/03/2022 - 17/06/2022)
Crediti
12
Ore
100 ore di attività frontale
Lingua insegnamento
English
Tipo esame
ORALE
Docente
CALZAROSSA MARIA (titolare) - 12 CFU
Prerequisiti
Computer networks.
Obiettivi formativi
The course focuses on the complex technological infrastructures being deployed nowadays. Particular emphasis will be given to the role of their hardware and software components and to the issues related to performance and Quality of Service (QoS). The course will introduce the techniques and tools for analyzing and predicting the performance of the infrastructures and discuss some case studies.
At the end of the course, students will have enough competence to plan and successfully undertake performance evaluation and capacity planning activities.
Programma e contenuti
  • Enterprise digital infrastructure: definitions and requirements.

  • Quality attributes: dependability, performance, usability.

  • Monitoring: objectives, target and process.

  • Networked applications: client/server and peer-to-peer architectural models.

  • Web and HTTP. Web caching. Content Distribution Networks.

  • Domain Name System: basic services and organization.

  • Email: SMTP, POP3, IMAP4 protocols.

  • Cloud computing

  • Modelling approach: definition, parameterization and evaluation.

  • Operational analysis.

  • Queueing network models.
  • Metodi didattici
    Lectures and hands-on sessions in the laboratory.
    Testi di riferimento
    J. Kurose, K. Ross: Computer Networking - A top down approach featuring the Internet. 7th Edition. Addison Wesley, 2017.

    Protocol RFCs.

    Edward D. Lazowska, John Zahorjan, G. Scott Graham, Kenneth C. Sevcik:
    Quantitative System Performance Computer System Analysis Using Queueing Network Models. Prentice Hall, 1984.
    Modalità verifica apprendimento
    Final project work and oral exam.
    Altre informazioni
    None.
    Obiettivi Agenda 2030 per lo sviluppo sostenibile