Distributed Systems, 6 credits

Distribuerade system, 6 hp

TDDD25

Course starting semester

Main field of study

Computer Science and Engineering Computer Science

Course level

Second cycle

Course type

Programme course

Examiner

Petru Eles

Director of studies or equivalent

Ahmed Rezine

Education components

Preliminary scheduled hours: 40 h
Recommended self-study hours: 120 h

Available for exchange students

Yes

Possible deviation from course syllabus/programme syllabus

ECV = Elective / Compulsory / Voluntary

Course offered for		Semester	Period	Timetable module	Language	Campus	ECV
6CDDD	Computer Science and Engineering, M Sc in Engineering	8 (Spring 2017)	1	2	English	Linköping, Valla	E
6CDDD	Computer Science and Engineering, M Sc in Engineering (Computer Systems Architecture)	8 (Spring 2017)	1	2	English	Linköping, Valla	E
6CDDD	Computer Science and Engineering, M Sc in Engineering (Systems Technology)	8 (Spring 2017)	1	2	English	Linköping, Valla	C/E
6CMJU	Computer Science and Software Engineering, M Sc in Engineering	8 (Spring 2017)	1	2	English	Linköping, Valla	E
6MDAV	Computer Science, Master's programme	2 (Spring 2017)	1	2	English	Linköping, Valla	E
6MICS	Computer Science, Master's programme	2 (Spring 2017)	1	2	English	Linköping, Valla	E
6MELE	Electronics Engineering, Master's programme (System-on-Chip)	2 (Spring 2017)	1	2	English	Linköping, Valla	E
6CITE	Information Technology, M Sc in Engineering	8 (Spring 2017)	1	2	English	Linköping, Valla	E
6CITE	Information Technology, M Sc in Engineering (Computer Systems Architecture)	8 (Spring 2017)	1	2	English	Linköping, Valla	E
6CITE	Information Technology, M Sc in Engineering (Systems Technology)	8 (Spring 2017)	1	2	English	Linköping, Valla	C/E

Main field of study

Computer Science and Engineering, Computer Science

Course level

Second cycle

Advancement level

A1X

Course offered for

Computer Science and Engineering, M Sc in Engineering
Computer Science, Master's programme
Electronics Engineering, Master's programme
Information Technology, M Sc in Engineering
Computer Science and Software Engineering, M Sc in Engineering

Entry requirements

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshold requirements for progression within the programme, or corresponding.

Prerequisites

Concurrent Programming and operating system or Real Time and Concurrent Programming

Intended learning outcomes

The aim of the course is to provide theoretical knowledge, understanding, and practical skills regarding modern distributed systems and the related techniques, algorithms and tools. After completing the course, the students should be able to:

Identify the essential difficulties and specific problems in designing and implementing a complex distributed system.

Understand the theoretical aspects at the heart of distributed systems and relate them to the problematic of distributed applications.

Analyze the requirements of the system and find solutions for various problems, based on a solid theoretical understanding of the area.

Compare alternative solutions with regard to various parameters and relate to the actual distributed application and its requirements.

Understand the specific features of certain distributed applications, such as real-time or fault-tolerant systems, and master the adequate solutions.

Design a distributed application and implement it using the CORBA environment.

Course content

Introduction, models and overall architecture of distributed systems, services and different forms of transparency in distributed systems, communication in distributed systems, distributed heterogeneous applications and CORBA, time and state in distributed systems, distributed mutual exclusion, real-time distributed systems, replication, and fault tolerance.

Teaching and working methods

The course consists of lectures and laboratory assignments.

Examination

LAB1	Laboratory work	2 credits	U, G
TEN1	Written examination	4 credits	U, 3, 4, 5

Grades

Four-grade scale, LiU, U, 3, 4, 5

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Ahmed Rezine

Examiner

Petru Eles

Education components

Preliminary scheduled hours: 40 h
Recommended self-study hours: 120 h

Course literature

George Coulouris, Jean Dollimore, Tim Kindberg: "Distributed Systems - Concepts and Design" 5th Edition, Addison Wesley Publishing Comp., 2011.

Code	Name	Scope	Grading scale
LAB1	Laboratory work	2 credits	U, G
TEN1	Written examination	4 credits	U, 3, 4, 5

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva.

Student rights and obligations (login required)
Linköping University common rules and regulations (in Swedish)

Course literature is preliminary.

George Coulouris, Jean Dollimore, Tim Kindberg: "Distributed Systems - Concepts and Design" 5th Edition, Addison Wesley Publishing Comp., 2011.

Download

Download course literature list as PDF

Note: The course matrix might contain more information in Swedish.

I = Introduce, U = Teach, A = Utilize

		I	U	A
1. DISCIPLINARY KNOWLEDGE AND REASONING
	1.1 Knowledge of underlying mathematics and science (G1X level)			X
	1.2 Fundamental engineering knowledge (G1X level)			X
	1.3 Further knowledge, methods, and tools in one or several subjects in engineering or natural science (G2X level)		X
	1.4 Advanced knowledge, methods, and tools in one or several subjects in engineering or natural sciences (A1X level)
	1.5 Insight into current research and development work
2. PERSONAL AND PROFESSIONAL SKILLS AND ATTRIBUTES
	2.1 Analytical reasoning and problem solving	X	X
	2.2 Experimentation, investigation, and knowledge discovery	X		X
	2.3 System thinking	X	X
	2.4 Attitudes, thought, and learning	X
	2.5 Ethics, equity, and other responsibilities
3. INTERPERSONAL SKILLS: TEAMWORK AND COMMUNICATION
	3.1 Teamwork			X
	3.2 Communications			X
	3.3 Communication in foreign languages			X
4. CONCEIVING, DESIGNING, IMPLEMENTING AND OPERATING SYSTEMS IN THE ENTERPRISE, SOCIETAL AND ENVIRONMENTAL CONTEXT
	4.1 External, societal, and environmental context	X
	4.2 Enterprise and business context
	4.3 Conceiving, system engineering and management	X	X
	4.4 Designing	X		X
	4.5 Implementing	X	X
	4.6 Operating
5. PLANNING, EXECUTION AND PRESENTATION OF RESEARCH DEVELOPMENT PROJECTS WITH RESPECT TO SCIENTIFIC AND SOCIETAL NEEDS AND REQUIREMENTS
	5.1 Societal conditions, including economic, social, and ecological aspects of sustainable development for knowledge development
	5.2 Economic conditions for knowledge development
	5.3 Identification of needs, structuring and planning of research or development projects
	5.4 Execution of research or development projects
	5.5 Presentation and evaluation of research or development projects

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