ENTERPRISE DIGITAL INFRASTRUCTURE
Stampa
Enrollment year
2019/2020
Academic year
2019/2020
Regulations
DM270
Academic discipline
ING-INF/05 (DATA PROCESSING SYSTEMS)
Department
DEPARTMENT OF ELECTRICAL,COMPUTER AND BIOMEDICAL ENGINEERING
Course
COMPUTER ENGINEERING
Curriculum
Data Science
Year of study
Period
2nd semester (02/03/2020 - 12/06/2020)
ECTS
12
Lesson hours
100 lesson hours
Language
English
Activity type
ORAL TEST
Teacher
CALZAROSSA MARIA (titolare) - 12 ECTS
Prerequisites
Computer networks.
Learning outcomes
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.
Course contents
  • 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.
  • Teaching methods
    Lectures and hands-on sessions in the laboratory.
    Reccomended or required readings
    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.
    Assessment methods
    Final project work and oral exam.
    Further information
    None.
    Sustainable development goals - Agenda 2030