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Resource-aware speculative prefetching in wireless networks

Tuah, N. J., Kumar, M. and Venkatesh, S. 2003, Resource-aware speculative prefetching in wireless networks, Wireless networks, vol. 9, no. 1, pp. 61-72, doi: 10.1023/A:1020829124143.

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Title Resource-aware speculative prefetching in wireless networks
Author(s) Tuah, N. J.
Kumar, M.
Venkatesh, S.ORCID iD for Venkatesh, S. orcid.org/0000-0001-8675-6631
Journal name Wireless networks
Volume number 9
Issue number 1
Start page 61
End page 72
Total pages 12
Publisher Springer
Place of publication Secaucus, N.J.
Publication date 2003-01
ISSN 1022-0038
1572-8196
Keyword(s) Bandwidth
Caching
Compound request
Network load
Speculative prefetching
Summary Mobile users connected to wireless networks expect performance comparable to those on wired networks for interactive multimedia applications. Satisfying Quality of Service (QoS) requirements for such applications in wireless networks is a challenging problem due to limitations of low bandwidth, high error rate and frequent disconnections of wireless channels. In addition, wireless networks suffer from varying bandwidth. In this paper we investigate object prefetching during times of connectedness and bandwidth availability to enhance user perceived connectedness. This paper presents an access model that is suitable for multimedia access in wireless networks. Access modelling for the purpose of predicting future accesses in the context of speculative prefetching has received much attention in the literature. The model recognizes that a web page, instead of just a single file, is typically a compound of several files. When it comes to making prefetch decisions, most previous studies in speculative prefetching resort to simple heuristics, such as prefetching an item with access probabilities larger than a manually tuned threshold. This paper takes a different approach. Specifically, it models the performance of the prefetcher, taking into account access predictions and resource parameters, and develops a prefetch policy based on a theoretical analysis of the model. Since the analysis considers cache as one of the resource parameters, the resulting policy integrates prefetch and cache replacement decisions. The paper investigates the effect of prefetching on network load. In order to make effective use of available resources and maximize access improvement, it is beneficial to prefetch all items with access probabilities exceeding certain threshold.
Language eng
DOI 10.1023/A:1020829124143
Field of Research 080502 Mobile Technologies
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2002, Kluwer Academic Publishers
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044264

Document type: Journal Article
Collection: School of Information Technology
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