Simulated annealing: theory and applications
Simulated annealing: theory and applications
The multicast policy and its relationship to replicated data placement
ACM Transactions on Database Systems (TODS)
Routing of multipoint connections
Broadband switching
Approximation algorithms for data management in networks
Proceedings of the thirteenth annual ACM symposium on Parallel algorithms and architectures
Optimal Placement of Replicas in Trees with Read, Write, and Storage Costs
IEEE Transactions on Parallel and Distributed Systems
Data Management in an International Data Grid Project
GRID '00 Proceedings of the First IEEE/ACM International Workshop on Grid Computing
Identifying Dynamic Replication Strategies for a High-Performance Data Grid
GRID '01 Proceedings of the Second International Workshop on Grid Computing
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
File and Object Replication in Data Grids
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
On the Optimal Placement of Secure Data Objects over Internet
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
QoS-Aware Replica Placement for Content Distribution
IEEE Transactions on Parallel and Distributed Systems
An efficient replicated data access approach for large-scale distributed systems
CCGRID '04 Proceedings of the 2004 IEEE International Symposium on Cluster Computing and the Grid
Wide Area Data Replication for Scientific Collaborations
GRID '05 Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing
A QoS-Aware Heuristic Algorithm for Replica Placement
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
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In this paper, we consider the QoS-aware replica placement problem. Although there has been much research on the problem, most approaches focus on the average system performance and ignore the quality assurance issue. However, quality assurance is crucial, especially in heterogeneous environments. To fill this research gap, we proposed four heuristic algorithms to determine the locations of replicas in order to satisfy the quality requirements imposed by data requests. Three of the algorithms are greedy heuristics called Greedy-Cover, Cover-Partition and Multi-Source. The fourth algorithm is based on the Simulated Annealing technique. Our experiment results indicated that Greedy-Cover and the Simulated Annealing-based algorithms can find effective solutions efficiently. Copyright © 2011 John Wiley & Sons, Ltd.