Abstract
Problem statement: In Mobile grid, the mobile devices can be effectively incorporated in to the Grid. It enables both the mobility of the users requesting access to a fixed grid and the resources that are themselves as part of the grid. There are number challenging issues for mobile grid; such as connectivity, availability, maintainability, consistency and fault tolerance. This study addresses the issue of data replication solution that maintains consistency, which improves the availability of replicated data in a small scale mobile grid environment. Approach: In this study we propose a structural design that improves the availability in a mobile grid environment by placing the replica in an optimized manner so that the performance of the mobile grid environment can be improved and a multi agent based approach to maintain the consistency between the replicated data effectively by propagating the latest updates intelligently. Results: The study presents the results depicting the advantageous of using agents in data replication, which includes reduction in data communication cost under different circumstances like change in mobility of nodes, read write ratio of nodes and replication schema. Conclusion: The proposed method will select the optimum number of locations to place the replica such that the maintenance overhead such as update propagation, consistency maintenance, storage cost and communication cost will be reduced.
Highlights
Mobile, nomadic and fixed wireless devices form new type of resource sharing networks called wireless grids
The wireless grid extends this sharing potential to mobile, nomadic, or fixed-location devices temporarily connected via ad hoc wireless networks
Proposed scheme: This study addresses the problem of maintaining consistency and improving availability of replicated data for small scale distributed systems that operate in mobile environments, called as Mobile Grid
Summary
Nomadic and fixed wireless devices form new type of resource sharing networks called wireless grids. The possible states of the NAgent are: Base station level: This level contains the master replica, which must be synchronized with the replicas from the nodes at the mobile host level The server in this level is responsible for synchronizing all changes that have been performed on infrequently changed data with the lower level. Tokenizer: Write Once Read All (WORA) method The distributed dynamic replication algorithm works is used in this scheme, N-Agent of mobile node by three tests, namely, expansion test, contraction which wants to update the replica acts as a tokenizer test and switch test. The candidate node that is holding the replica currently is not the best site to fetch nor can handle Algorithm 4 Fault tolerance algorithm: the access request due to the change in user request and network latency In such situation reallocation of replica is done by the switch test execution. The algorithm will converge to the optimal placement scheme if user access pattern remains stable
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