Distributed Systems

Code:

EEC0049

Acronym:

SDIS

Keywords
Classification	Keyword
OFICIAL	Informatics

Instance: 2016/2017 - 1S

Active?	Yes
Responsible unit:	Department of Electrical and Computer Engineering
Course/CS Responsible:	Master in Electrical and Computers Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIEEC	22	Syllabus	5	-	6	56	162

Teaching language

Suitable for English-speaking students

Objectives

Familiarize the students with the issues related to distributed software applications, study typical solutions to typical problems in that domain (distribution transparency, remote invocations, addressing, information dissemination, consensus, etc.), study the software technologies needed to build distributed applications, develop the skills to use such technologies and to build concrete applications of small and medium size.

Learning outcomes and competences

At the end of this course unit, students should have acquired programming skills required to build small to medium size distributed applications, being able to select and use the most appropriate software technologies. They should also be able to devise simple fault-tolerance mechanisms based on spatial redundancy.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Computer networks. Operating Systems. Programming.

Program

Distributed architectures and their context. Communication models (message passing, remote invocations), cooperation models (client-server, publisher-subscriber, peer-to-peer) and synchronization models (rendez-vous, clock synchronization, distributed mutual exclusion). Distribution middlewares. Fault-tolerance (replication and consistency).

Mandatory literature

Andrew S. Tanenbaum, Maarten van Steen; Distributed systems. ISBN: 0-13-088893-1

Teaching methods and learning activities

Theory component (lecturing) plus a lab component with two parts: the first one consists of the development of short programs using different APIs, and the second part consists of the development of a small project in groups of two students with oral presentation and demonstration at the end.

keywords

Technological sciences > Technology > Internet technology
Physical sciences > Computer science > Computer architecture > Distributed computing
Technological sciences > Technology > Communication technology > Network tecnology
Technological sciences > Technology > Computer technology > Systems technology

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	20,00
Teste	40,00
Trabalho laboratorial	40,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	66,00
Frequência das aulas	56,00
Trabalho laboratorial	40,00
Total:	162,00

Eligibility for exams

 

• General FEUP regulations

• Engagement in the lab component

 

Calculation formula of final grade

NF - Final Mark

NP - Lab Mark

NT - Theory mark(mini-test)

NF = 0,6*NP + 0,4 NT

NPP - Programming exam mark (in the exams period)

NTL - Mini-project mark

NP = NPP/3+ 2*NTL/3

Passing requires a minimum mark of 7 in each component.

Classification improvement

Only the theory component (mini-test) can be subject of improvement through a sumplementary exam.