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ID2210 Distributed Computing, Peer-to-Peer and GRIDS 7.5 credits

This course shall lead to deepened knowledge in distributed systems and algorithms specially for fully decentralized systems such as peer-to-peer systems. The topic of Distributed Systems is now garnering increasing importance, especially with the advancement in technology of the Internet and WWW.

Information per course offering

Course offerings are missing for current or upcoming semesters.

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus ID2210 (Spring 2019–)
Headings with content from the Course syllabus ID2210 (Spring 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Fundamental results in distributed algorithms; gossip and epidemic overlays. Study of peer-to-peer systems, algorithms, and applications.Study of DHTs (Distributed Hash Tables), and content distribution. Introduction to GRID systems.

Intended learning outcomes

This course shall lead to deepened knowledge in distributed systems and algorithms specially for fully decentralized systems such as peer-to-peer systems and gossip-based systems. The topic of Distributed Systems is now garnering increasing importance, especially with the advancement in technology of the Internet and WWW. 

The aim of this module is to provide students with basic concepts and principles of distributed systems, basic distributed algorithms, and orientation about distributed middleware for peer-to-peer and GRID systems. The module is taught in seminar style, and several case studies are included.

The student should be able to:

  • explain the common concepts of peer-to-peer, DHT and gossip based algorithms
  • implement in a simulator environment some of peer-to-peer algorithms
  • write a summary and present the basic ideas of a recent research paper in the field and give a critical view of the contribultion and the cons and pros of the paper.

Literature and preparations

Specific prerequisites

120 university credits (hp) in engineering or natural sciences and documented proficiency in English corresponding to English A

Equipment

No information inserted

Literature

Distributed K-ary system: algorithms for DHT overlays.
http://www.sics.se/~ali/thesis
Forskningsartikler i peer-to-peer systems and GRID systems.Forskingsartiklerna finns på kursens hemsida

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

A, B, C, D, E, FX, F

Examination

  • ANN1 - Assignment, 3.0 credits, grading scale: P, F
  • TEN1 - Examination, 4.5 credits, grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Other requirements for final grade

Midterm exam (10 point) has a weight of 10% given as bonus point. Final presentation and report (TEN1; 4.5 hp) (70 points) has a weight of 70% of the final result.

The practical part of the course (LAB1; 3 hp) consists of three compulsory parts and gives 30 points (of weight 30%).

For the final grade the following is valid:

A: 90 points or higher
B: 75-89 points
C: 65-74 points
D: 55- 64 points
E: 45-54 points
Fx: 40-44 points
F: less than 40 points 

For approved grade (E) the following should be satisfied
- The student has completed the compulsory part of LAB1.
- The student in presentation form can explain the contribution of the assigned research paper. 

For higher grade the student should pass the midterm and  to critize and compare the contribution of assigned paper.  

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

No information inserted

Examiner

No information inserted

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

Computer Science and Engineering, Information and Communication Technology

Education cycle

Second cycle

Add-on studies

No information inserted

Supplementary information

In this course, the EECS code of honor applies, see: http://www.kth.se/en/eecs/utbildning/hederskodex.