Improving the Fault Tolerance for Distributed Database Using Check Pointing and Agent System

Abstract

Fault tolerance is very essential for distributed database in a client server environment. In that distributed database system, a partial failure may happen when one component fail in the system. This failure may affect the proper operation of other components totally. The major purpose of the system is to continue for operating in an acceptable way while repairs are being made and to automatically recover from partial failures without seriously affecting the overall performance. Check pointing is a technique for inserting fault tolerance into computing systems. It basically consists of storing a snapshot of the current application state, and later on, uses it for restarting the execution in case of failure. Data replication is a distributed database solution used to improve performance and availability for several types of distributed applications such as data warehousing and on-line financial transactions. Replication techniques also address fault-tolerance activities of masking failures, and reconfiguring the system in response. So, this system improves the fault tolerance for distributed database with minimal recovery time and we analyze the latency time of insert, delete and update operations on the distributed database.