CS8603 Syllabus Distributed Systems
CS8603 Syllabus Distributed Systems Regulation 2017 Anna University free download. Distributed Systems Syllabus CS8603 pdf free download.
UNIT I INTRODUCTION 9 CS8603 Syllabus Distributed Systems
Introduction: Definition –Relation to computer system components –Motivation –Relation to parallel systems – Message-passing systems versus shared memory systems –Primitives for distributed communication –Synchronous versus asynchronous executions –Design issues and challenges. A model of distributed computations: A distributed program –A model of distributed executions –Models of communication networks –Global state – Cuts –Past and future cones of an event –Models of process communications. Logical Time: A framework for a system of logical clocks –Scalar time –Vector time – Physical clock synchronization: NTP.
UNIT II MESSAGE ORDERING & SNAPSHOTS CS8603 Syllabus Distributed Systems
Message ordering and group communication: Message ordering paradigms –Asynchronous execution with synchronous communication –Synchronous program order on an asynchronous system –Group communication – Causal order (CO) – Total order. Global state and snapshot recording algorithms: Introduction –System model and definitions –Snapshot algorithms for FIFO channels
UNIT III DISTRIBUTED MUTEX & DEADLOCK CS8603 Syllabus Distributed Systems
Distributed mutual exclusion algorithms: Introduction – Preliminaries – Lamport‘s algorithm – Ricart-Agrawala algorithm – Maekawa‘s algorithm – Suzuki–Kasami‘s broadcast algorithm. Deadlock detection in distributed systems: Introduction – System model – Preliminaries – Models of deadlocks – Knapp‘s classification – Algorithms for the single resource model, the AND model and the OR model.
UNIT IV RECOVERY & CONSENSUS CS8603 Syllabus Distributed Systems
Checkpointing and rollback recovery: Introduction – Background and definitions – Issues in failure recovery – Checkpoint-based recovery – Log-based rollback recovery – Coordinated checkpointing algorithm – Algorithm for asynchronous checkpointing and recovery. Consensus and agreement algorithms: Problem definition – Overview of results – Agreement in a failure –
free system – Agreement in synchronous systems with failures.
UNIT V P2P & DISTRIBUTED SHARED MEMORY 9 CS8603 Syllabus Distributed Systems
Peer-to-peer computing and overlay graphs: Introduction – Data indexing and overlays – Chord – Content addressable networks – Tapestry. Distributed shared memory: Abstraction and advantages – Memory consistency models –Shared memory Mutual Exclusion.
|Subject name||Distributed Systems|
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