Name
Abstract | ||
|---|---|---|
This paper proposes CADRE Collaborative Allocation and De-allocation of Replicas with Efficiency, which is a dynamic replication scheme for improving the typically low data availability in dedicated and cooperative mobile ad-hoc peer-to-peer M-P2P networks. In particular, replica allocation and de-allocation are collaboratively performed in tandem to facilitate effective replication. Such collaboration is facilitated by a hybrid super-peer architecture in which some of the mobile hosts act as the 'gateway nodes' GNs in a given region. GNs facilitate both search and replication. The main contributions of CADRE are as follows. First, it facilitates the prevention of 'thrashing' conditions due to its collaborative replica allocation and de-allocation mechanism. Second, it considers the replication of images at different resolutions to optimize the usage of the generally limited memory space of the mobile hosts MHs. Third, it addresses fair replica allocation across the MHs. Fourth, it facilitates the optimization of the limited energy resources of MHs during replication. The authors' performance evaluation demonstrates that CADRE is indeed effective in improving data availability in M-P2P networks with significant reduction in query response times and low communication traffic during replication as compared to a recent existing scheme as well as a baseline approach, which does not consider any replication. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.4018/jhcr.2010040105 | IJHCR |
Keywords | DocType | Volume |
effective replication,replica allocation,cooperative mobile ad-hoc peer-to-peer,mobile hosts MHs,Collaborative Replication Approach,Mobile-P2P Networks,mobile host,M-P2P network,fair replica allocation,dynamic replication scheme,collaborative replica allocation,CADRE Collaborative Allocation | Journal | 1 |
Issue | Citations | PageRank |
2 | 0 | 0.34 |
References | Authors | |
31 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Masaru Kitsuregawa | 1 | 3188 | 831.46 |
| Sanjay Kumar Madria | 2 | 892 | 276.61 |
| Anirban Mondal | 3 | 386 | 31.29 |