An optimized strategy for replication in Peer-to-Peer Distributed databases

Availability of data in Distributed databases improves the QoS factors like, fault tolerance and response time. An efficient Replication management results in high degree of availability. The Replication of data among sites increases the success possibilities during the recovery. Replication is one part of the well known issue called Data Allocation Problem along with Allocation in the design phase of Distributed Databases. The Allocation improves accessibility of data. The Data Allocation Problem is a NP-Hard in its nature. Hence it requires an optimized solution for improved results. As a result of the current trends in research towards a better Allocation and Replication strategy with the usage of Optimization techniques, this paper proposes a methodology for replication of fragments in Peer-to-Peer environment with Hungarian Assignment Algorithm of optimization technique. The simulation results suggest that the population of successful queries is increased better than the initial and reallocation of fragments across the sites.