Dynamic Data Replication Using Aperiodic Updates in Mobile Adhoc Networks

In this paper, we present three extended dynamic data replication schemes for mobile ad-hoc networks. We improve upon existing replication algorithms by considering aperiodic updates and integrating user profiles consisting of mobile users' mobility schedules, access behavior and read/write patterns. Our schemes actively reconfigure the replicas to adjust to the changes in user behavior and network status. We present three replication algorithms and their performance in an environment where data items are updated aperiodically, and where frequency of access to each data objects from mobile hosts and the status of network connection are also considered.