Data mining: concepts and techniques
Data mining: concepts and techniques
IEEE/ACM Transactions on Networking (TON)
Cure: an efficient clustering algorithm for large databases
Information Systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Proxy Cache Algorithms: Design, Implementation, and Performance
IEEE Transactions on Knowledge and Data Engineering
Efficient and Effective Clustering Methods for Spatial Data Mining
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
A Transparent Replication of HTTP Service
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
ICPADS '01 Proceedings of the Eighth International Conference on Parallel and Distributed Systems
Networks Consolidation through Soft Computing
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
DOC: a distributed object caching system for information infrastructure
HSI'03 Proceedings of the 2nd international conference on Human.society@internet
Network redesign through servers consolidation
Proceedings of the 11th International Conference on Information Integration and Web-based Applications & Services
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The server placement algorithm is to locate the given number of cache servers at "proper" coordinates in the network. A typical objective to determine good locations may be simply to find the set of client clusters in which the Euclidean center of each cluster is the location of the cache server. We claim, however, that the objective should also consider 1) the network communication delays and 2) the cost of relocating cache servers, if any. We exploit both hierarchical and partitioning approaches, and present our server placement algorithm. We evaluated the performance of the algorithm, and its result is promising.