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Integration of QoS Queuing Schedules to QoS Caching Schemes

Authors: null Yong Zhang; null Wenying Feng; R. Hurley;

Integration of QoS Queuing Schedules to QoS Caching Schemes

Abstract

Previously, QoS queueing schedule algorithms for web servers and QoS Web caching were studied individually. In this paper, we examine the combination of both algorithms aimed at an optimal QoS solution for both clients and the server. By integrating one of the three schedule rules: Best Effort, DiffServ (Differentiated Services) and WSPT (Weighted Shortest Processing Time), with one of the two caching replacement algorithms: LRU (Least Recently Used) and LLP (Least Level Property) respectively, we develop six simulation models to compare their performance with the three metrics for QoS measures: Timeliness, Precision and Accuracy. Keywords QoS, Web caching, queuing models, response time, server throughput, cache replacement algorithm.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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