research-article

Objective-Optimal Algorithms for Long-Term Web Prefetching

Authors:

Ajay D. KshemkalyaniAuthors Info & Claims

IEEE Transactions on Computers, Volume 55, Issue 1

Pages 2 - 17

https://doi.org/10.1109/TC.2006.12

Published: 01 January 2006 Publication History

Abstract

Web prefetching is based on Web caching and attempts to reduce user-perceived latency. Unlike on-demand caching, Web prefetching fetches objects and stores them in advance, hoping that the prefetched objects are likely to be accessed in the near future and such accesses would be satisfied from the caches rather than by retrieving the objects from the Web server. This paper reviews the popular prefetching algorithms based on Popularity, Good Fetch, APL characteristic, and Lifetime, and then makes the following contributions: 1) The paper proposes a family of linear-time prefetching algorithms, Objective-Greedy prefetching, wherein each algorithm greedily prefetches those Web objects that most significantly improve the performance as per the targeted metric. 2) The Hit rate-Greedy and Bandwidth-Greedy algorithms are shown to be optimal for their respective objective metrics. A linear-time optimal prefetching algorithm that maximizes the H/B metric as the performance measure is proposed. 3) The paper shows the results of a performance analysis via simulations, comparing the proposed algorithms with the existing algorithms in terms of the respective objectives—the hit rate, bandwidth, and the H/B metrics. The proposed prefetching algorithms are seen to provide better objective-based performance than any existing algorithms. Further, H/B-Greedy performs almost as well as H/B-Optimal.

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Cited By

Weerasinghe SZaslavsky ALoke SMedvedev AAbken AHassani AHuang G(2024)Reinforcement Learning Based Approaches to Adaptive Context Caching in Distributed Context Management SystemsACM Transactions on Internet of Things10.1145/36485715:2(1-32)Online publication date: 16-Feb-2024
https://dl.acm.org/doi/10.1145/3648571
Puzhavakath Narayanan SNam YSivakumar AChandrasekaran BMaggs BRao S(2016)Reducing Latency Through Page-aware Management of Web Objects by Content Delivery NetworksACM SIGMETRICS Performance Evaluation Review10.1145/2964791.290147244:1(89-100)Online publication date: 14-Jun-2016
https://dl.acm.org/doi/10.1145/2964791.2901472
Puzhavakath Narayanan SNam YSivakumar AChandrasekaran BMaggs BRao SAlouf SJean-Marie AHegde NProutière A(2016)Reducing Latency Through Page-aware Management of Web Objects by Content Delivery NetworksProceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science10.1145/2896377.2901472(89-100)Online publication date: 14-Jun-2016
https://dl.acm.org/doi/10.1145/2896377.2901472
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Objective-Optimal Algorithms for Long-Term Web Prefetching

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cover image IEEE Transactions on Computers

IEEE Transactions on Computers Volume 55, Issue 1

January 2006

96 pages

ISSN:0018-9340

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Copyright © 2006.

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IEEE Computer Society

United States

Publication History

Published: 01 January 2006

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Cited By

Weerasinghe SZaslavsky ALoke SMedvedev AAbken AHassani AHuang G(2024)Reinforcement Learning Based Approaches to Adaptive Context Caching in Distributed Context Management SystemsACM Transactions on Internet of Things10.1145/36485715:2(1-32)Online publication date: 16-Feb-2024
https://dl.acm.org/doi/10.1145/3648571
Puzhavakath Narayanan SNam YSivakumar AChandrasekaran BMaggs BRao S(2016)Reducing Latency Through Page-aware Management of Web Objects by Content Delivery NetworksACM SIGMETRICS Performance Evaluation Review10.1145/2964791.290147244:1(89-100)Online publication date: 14-Jun-2016
https://dl.acm.org/doi/10.1145/2964791.2901472
Puzhavakath Narayanan SNam YSivakumar AChandrasekaran BMaggs BRao SAlouf SJean-Marie AHegde NProutière A(2016)Reducing Latency Through Page-aware Management of Web Objects by Content Delivery NetworksProceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science10.1145/2896377.2901472(89-100)Online publication date: 14-Jun-2016
https://dl.acm.org/doi/10.1145/2896377.2901472
Pleşca CCharvillat VOoi W(2016)Multimedia prefetching with optimal Markovian policiesJournal of Network and Computer Applications10.1016/j.jnca.2016.05.00269:C(40-53)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.1016/j.jnca.2016.05.002
Domenech JSahuquillo JGil JPont A(2012)A comparison of prediction algorithms for prefetching in the current webJournal of Web Engineering10.5555/2230876.223088011:1(64-78)Online publication date: 1-Mar-2012
https://dl.acm.org/doi/10.5555/2230876.2230880
Domenech Jde la Ossa BSahuquillo JGil JPont A(2012)Short SurveyExpert Systems with Applications: An International Journal10.1016/j.eswa.2012.01.14039:9(8496-8502)Online publication date: 1-Jul-2012
https://dl.acm.org/doi/10.1016/j.eswa.2012.01.140
Zeng ZVeeravalli BLi K(2011)A novel server-side proxy caching strategy for large-scale multimedia applicationsJournal of Parallel and Distributed Computing10.1016/j.jpdc.2010.06.00871:4(525-536)Online publication date: 1-Apr-2011
https://dl.acm.org/doi/10.1016/j.jpdc.2010.06.008
Zeng ZVeeravalli B(2009)A novel distributed architecture of large-scale multimedia storage system using autonomous object-based storage devicesJournal of Parallel and Distributed Computing10.1016/j.jpdc.2008.12.00469:4(349-359)Online publication date: 1-Apr-2009
https://dl.acm.org/doi/10.1016/j.jpdc.2008.12.004
Gu ZBan ZZhang HDuan ZRen X(2008)Online granular prediction model for web prefetchingProceedings of the 3rd international conference on Rough sets and knowledge technology10.5555/1788028.1788083(340-347)Online publication date: 17-May-2008
https://dl.acm.org/doi/10.5555/1788028.1788083
Sidiropoulos APallis GKatsaros DStamos KVakali AManolopoulos Y(2008)Prefetching in Content Distribution Networks via Web Communities Identification and OutsourcingWorld Wide Web10.1007/s11280-007-0027-811:1(39-70)Online publication date: 1-Mar-2008
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