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.
