Concurrency Control in Distributed Caching.

Abstract

Replication and caching strategies are increasingly being used to improve performance and reduce delays in distributed environments. A query can be answered more quickly by accessing a cached copy than making a database round trip. Numerous techniques have been proposed to achieve caching and replication in various contexts. In our context of flat cluster-based networks, we have observed that none of the schemes prove to be optimal for all scenarios. In this thesis we look at concurrency control techniques for achieving consistency in distributed caching in flat cluster-based networks. We then come up with heuristics to choose some concurrency control mechanisms over others, depending on the parameters such as the number of data requests and the ratio of read to write requests.