3485 Distributed Computing Credit Hours: 4 (4+0)
Recommended Book:
Parallel & Distributed Computing Handbook by Albart Y.Zomaya
Course Outlines:
Unit–1: Parallel and Distributed Computing: The Scene, The Pro.
a) A Prospective
b) Parallel Processing Paradigm
c) Modeling and Characterizing Parallel Algorithms
d) Cost vs. Performance Evaluation
e) Software and General Purpose
Unit–2: Semantics of Concurrent Programming & Formal Methods
a) Models of Concurrent Programming
b) Axiomatic, Denotation, Operational: Semantics Definitions
c) Process Algebras
d) PETRI Nets
e) High Level Net Models
Unit–3: Complexity issues in Parallel and Distributed Computing
a) Turing Machine as the Basis and Consequences
b) Complexity Measures for Parallelism
c) Parallel Complexity Model and Resulting Classes
d) VLSI Computational Complexity
e) Complexity Measures for Distributed Systems
f) Neural Networks and Complexity Issues
Unit–4: Distributed Computing Theory
a) The Computational Model
b) Leaders Election
c) Spares Network Covers and their Applications
d) Ordering Events & Resource Allocation
e) Tolerating Processor Failure in synchronous and Asynchronous Systems
Unit–5: Check Pointing in Parallel and Distributed Systems
a) Check pointing Using Task Duplication
b) Techniques for consistent check pointing
c) Conclusion and Future Directions
Unit–6: Architecture for Open Distributed Software Systems
a) Computational Model
b) ODP Application
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