Module $13$ A

Analyze the impact of memory consistency models on the performance of Distributed Shared Memory $($DSM$)$ systems. How do strong consistency and weak consistency models influence system efficiency and fault tolerance?

Compare and contrast the central server algorithm and migration algorithm for managing data in DSM systems. How do these approaches handle data access and fault tolerance differently?

Examine the role of release consistency in DSM$.$ How does it differ from sequential consistency, and what are the specific use cases where release consistency would be more advantageous?

Module $14$ B

Evaluate the effectiveness of the full replication algorithm in ensuring data availability and fault tolerance in large$-$scale DSM systems. What are the potential drawbacks, and how might they be mitigated?

Critique the scalability of the central server algorithm in a distributed shared memory system with a growing number of nodes. What improvements could be made to handle the increase in network traffic and data requests?

Assess the applicability of migration algorithms in dynamic distributed systems where nodes frequently join and leave the network. How effective is this approach in maintaining system consistency, and what alternatives could be explored?

Submission

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