Name
Abstract | ||
|---|---|---|
Besides the complexity of grid application programming, achieving high performance has become a real challenge in large scale grid systems mainly because of the high latencies and unpredictable communication paths. We follow the idea of shared data programming in grid environments and we design a replication component for a shared data programming framework with dynamic replication capabilities. We define several replication policies that are dynamically used during the application life-cycle in order to minimize the communication cost and provide better performance. We evaluate several application scenarios in order to prove that dynamic policy based replication can improve the overall application performance and reduce resource access time. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/SYNASC.2008.52 | Timisoara |
Keywords | Field | DocType |
andunpredictable communication path,grid shared data programming,providebetter performance,communication cost,overall application performance,dynamic replication engine,grid system,application life-cycle,high performance,grid environment,grid application program-ming,application scenario,engines,data mining,prototypes,programming,kernel,grid computing,life cycle,distributed databases,availability | Kernel (linear algebra),Grid computing,Access time,Replicating portfolio,Computer science,Theoretical computer science,Distributed database,Grid system,Software framework,Grid,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-0-7695-3523-4 | 1 | 0.36 |
References | Authors | |
9 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Georgiana Macariu | 1 | 126 | 13.12 |
| Dacian Tudor | 2 | 29 | 9.23 |
| Vladimir Cretu | 3 | 26 | 6.76 |