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Abstract: The scalability of a distributed service can be improved if the number of replicated instances of the service can vary with the load experienced by the system. To ensure that the number and placement of the replicas can be dynamically changed based on network and load conditions, a peer node must know when it should create a new replica and when such a replica can be removed. A scheme that makes such decisions centrally suffers from a number of problems. In this paper, we propose a... (Update)
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BibTeX entry: (Update)
@misc{ chang-improving,
author = "Tianying Chang and Mustaque Ahamad",
title = "Improving Service Performance through Object Replication in Middleware:
A Peer-to-Peer Approach",
url = "citeseer.ist.psu.edu/chang05improving.html" }
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30 A dynamic object replication and migration protocol for an i.. - Rabinovich, Rabinovich et al. - 1999
20 Topologyinformed internet replica placement - Radoslavov, Govindan et al. - 2001
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3 Distributed object implementations for interactive applicati.. - Krishnaswamy, Ganev et al. - 2000
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1 GT PPRMI Improving middleware performance using peer to peer.. (context) - Ahamad, Improving et al. - 2004
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1 Distributed replica placement algorithms for peerto -peer co.. (context) - Wauters, Coppens et al. - 2003
1 Latency-driven replica placement (context) - Szymaniak, Pierre et al. - 2005
1 On replica placement for qos-aware content distribution - Tang, Xu - 2004
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