FRINK Linked Data Fragments server

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• W1757777102 abstract "Uses analytic modeling and simulation to evaluate network servers implemented on clusters of workstations. More specifically, we model the potential benefits of locality-conscious request distribution within the cluster and evaluate the performance of a cluster-based server called L2S (Locality and Load-balancing Server) which we designed in light of our experience with the model. Our most important modeling results show that locality-conscious distribution on a 16-node cluster can increase server throughput with respect to a locality-oblivious server by up to seven-fold, depending on the average size of the files requested and on the size of the server's working set. Our simulation results demonstrate that L2S achieves throughput that is within 22% of the full potential of locality-conscious distribution on 16 nodes, outperforming and significantly outscaling the best-known locality-conscious server. Based on our results and on the fact that the files serviced by network servers are becoming larger and more numerous, we conclude that our locality-conscious network server should prove very useful for its performance, scalability and availability." @default.
• W1757777102 created "2016-06-24" @default.
• W1757777102 creator A5018097709 @default.
• W1757777102 creator A5089615986 @default.
• W1757777102 date "2002-11-07" @default.
• W1757777102 modified "2023-09-23" @default.
• W1757777102 title "Evaluating cluster-based network servers" @default.
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• W1757777102 doi "https://doi.org/10.1109/hpdc.2000.868635" @default.
• W1757777102 hasPublicationYear "2002" @default.
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