COURSE SUMMARY
Course Title: 
Distributed Computing
Course Code: 
18CA339
Year Taught: 
2018
Degree: 
Postgraduate (PG)
School: 
School of Arts and Sciences
School of Engineering
Campus: 
Kochi
Mysuru
Amritapuri

'Distributed Computing' is a course offered in M. C. A. (Master of Computer Applications) program at Amrita Vishwa Vidyapeetham.

Introduction to Distributed Systems – Primitives for Distributed Communication – Design Challenges – Distributed Systems like Models for Distributed Computations – Overview of Distributed Databases -Structure of Distributed Databases. Virtual Time in Distributed System: Logical Time - Scalar Time – Vector Time Lamport's Algorithm – Case Study -Logical Clocks in Riak - Global and Snapshot Recording Algorithms – Model - Snapshot Algorithms for FIFO Channels - Chandy–Lamport Algorithm – Snapshot Algorithms for Non FIFO Channels. Message Ordering And Group Communication - Message Ordering Paradigms – Asynchronous anSynchronous Execution - Causal Order – Total Order – Group Communication – Case Study (Horus , Totem) –Distributed Multicast Algorithms. Distributed Mutual Exclusion: Lamports Algorithm -Ricart– Agrawala Algorithm - Quorum-based Mutual Exclusion Algorithms. Deadlock Detection : Models of Deadlock – Classification of Deadlock Detection Algorithms -Mitchell and Merritt’s algorithm for the Single Resource Model - Chandy–Misra–Haas Algorithm For The AND/OR Model. Consensus and Agreement Algorithms and Failure Detection - Agreement in Failure Free Systems and Systems with Failures –The Consensus Problem – Byzantine Fault Tolerance. Case Study : Condor. Distributed

Database Design: Design Strategies - Design issues - Fragmentation and Allocation. Semantic Data Control: View Management Distributed Query Processing: Overview of Query Processing – Transforming Global Queries to Fragment Queries - Query Decomposition - Localization of Distributed data. Distributed Transaction Processing and Concurrency Control – 2PC -3PC.

  • Ajay D. Kshemkalyani, MukeshSinghal, “Distributed Computing: Principles, Algorithms, and Systems”, Cambridge University Press, 2011.
  • George Coulouris, Jean Dollimaore, Tim Kindberg, Gordon Blair,“Distributed Systems: Concepts & Design”, Fifth Edition, Addison Wesley, 2012.
  • Douglas Thain, Todd Tannenbaum, and MironLivny, “Distributed Computing in Practice: The Condor Experience”, Concurrency and Computation: Practice & Experience - Grid Performance, Volume 17, Issue 2-4, 2005.
  • M.TamerOzsu, PartrickValduriez,“Principles of Distributed Database Systems”, Third Edition, Springer, 2010.