CS3551 DISTRIBUTED COMPUTING (DC)

 

CS3551 DISTRIBUTED COMPUTING (DC)

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Prepared by  
     S.Santhosh (Admin) 
Important questions 
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UNIT -1
1. PASSING S/M VS SHARED memory s/m**
2. model of distributed computations, global state
3. Desiging issue ,challenges and example of ds**
UNIT-2
1. CO (causual order)full topic**
2.  Message ordering paradigms 
3. Snapshot algorithms for FIFO channels**
UNIT-3
1.Ricart-Agrawala algorithm ,Maekawa‘s algorithm
(2.  Lamport‘s algorithm
3. Knapp‘s classification   )   may be part c 
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UNIT-4
1. Issues in failure recovery ,Checkpoint-based recovery
2. Algorithm for asynchronous checkpointing and recovery
3. Log-based rollback recovery 
UNIT-5
1.characteristice of CC depployment models**
2.virtualization, moptoring and cloud service platform
3.Rare      stroage, app services

**Very important questions are bolded and may be asked based on this topic

PART-C

1.Compulsory Questions {a case study where the student will have to read and analyse the subject }
mostly asked from unit (OR) a Problem given

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SYllabuS

UNIT I INTRODUCTION
Introduction: Definition-Relation to Computer System Components Motivation - 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 of a Distributed System.

UNIT IH LOGICAL TIME AND GLOBAL STATE
Logical Time: Physical Clock Synchronization: NTP-A Framework for a System of Logical Clocks - Scalar Time - Vector Time; Message Ordering and Group Communication: Message Ordering Paradigms - Asynchronous Execution with Synchronous Communication Synchronous Program Order on Asynchronous System-Group Communication-Causal Order-Total Order; Global State and Snapshot Recording Algorithms: Introduction System Model and Definitions - Snapshot Algorithms for FIFO Channels.

UNIT III DISTRIBUTED MUTEX AND DEADLOCK

Distributed Mutual exclusion Algorithms: Introduction Preliminaries Lamport's algorithm-Ricart-Agrawala's Algorithm-Token-Based Algorithms Suzuki-Kasami's Broadcast Algorithm; Deadlock Detection in Distributed Systems: Introduction - System Model-Preliminaries - Models of Deadlocks - Chandy-Misra-Haas Algorithm for the AND model and OR Model.

UNIT IV CONSENSUS AND RECOVERY

Consensus and Agreement Algorithms: Problem Definition-Overview of Results - Agreement in a Failure-Free System(Synchronous and Asynchronous) - Agreement in Synchronous Systems with Failures; Checkpointing and Rollback Recovery: Introduction-Background and Definitions - Issues in Failure Recovery Checkpoint-based Recovery Coordinated Checkpointing Algorithm Algorithm for Asynchronous Checkpointing and Recovery.

UNIT V CLOUD COMPUTING

Definition of Cloud Computing - Characteristics of Cloud-Cloud Deployment Models - Cloud Service Models - Driving Factors and Challenges of Cloud - Virtualization - Load Balancing - Scalability and Elasticity Replication - Monitoring-Cloud Services and Platforms: Compute Services-Storage Services - Application Services.

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