Mobility-aware Web prefetching over heterogeneous wireless networks

Drew, Stephen; Liang, Ben

doi:10.1109/pimrc.2004.1370958

Cited by 16 publications

(15 citation statements)

References 8 publications

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“…In this work, we extend our previous results in [9] and examine the effect of multiple prefetching users on system performance. A unique challenge that arises in the multiuser scenario is the feedback of prefetching strategy amongst the users.…”

Section: Introductionmentioning

confidence: 69%

“…Users may roam anywhere and are not constrained to any one network. Users are mobility-aware, such that they have an estimate of which networks they may roam to in the near future [9,15]. Users access documents oneby-one from a set I.…”

Section: Network Model and Document Accessmentioning

confidence: 99%

“…Each new user request is served by first examining the cache for a successful prefetch, and if none is found, a normal document request is sent to the server. It was shown in [9] that gains from prefetching within the cellular network are minimal, and thus we only consider the case of prefetching from within the WLAN. Each user will establish a prefetching threshold, denoted by H, and will prefetch in a single batch request all documents with access probabilities greater than the threshold, i.e., from the set {i|p a (i; j) > H}.…”

Section: Network Model and Document Accessmentioning

confidence: 99%

“…It has been shown that traditional Web caching systems without prefetching can achieve a maximum hit rate of around 40% to 50% on static Web pages, whereas aggressive prefetching schemes can increase the hit rate to the order of 80% [12,7]. In addition, we have previously examined the benefit of prefetching, using Web browsing as an example, and showed that mobility awareness can lead to significant performance gain [9]. We observe that prefetching is particularly valuable for users in a two-tier wireless network because the cost of access in WLAN is generally much less expensive than the surrounding cellular network.…”

Section: Introductionmentioning

confidence: 99%

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Performance of multiuser network-aware prefetching in heterogeneous wireless systems

Liang

Drew

2007

Wireless Netw

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We study the performance of multiuser document prefetching in a two-tier heterogeneous wireless system. Mobility-aware prefetching was previously introduced to enhance the experience of a mobile user roaming between heterogeneous wireless access networks. However, an undesirable effect of multiple prefetching users is the potential for system instability due to the racing behavior between the document access delay and the user prefetching quantity. This phenomenon is particularly acute in the heterogeneous environment. We investigate into alleviating the system traffic load through prefetch thresholding, accounting for server queuing prioritization. We propose a novel analysis framework to evaluate the performance of the thresholding approach. Numerical and simulation results show that the proposed analysis is accurate for a wide variety of access, service, and mobility patterns. We further demonstrate that stability can be maintained even under heavy usage, providing both the same scalability as a non-prefetching system and the performance gain associated with prefetching.

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Section: Introductionmentioning

confidence: 69%

Section: Network Model and Document Accessmentioning

confidence: 99%

Section: Network Model and Document Accessmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Performance of multiuser network-aware prefetching in heterogeneous wireless systems

Liang

Drew

2007

Wireless Netw

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“…In [27]- [29], Network-Assisted Computing has been examined in the case of cache management. The focus of these works is to determine how to pre-fetch information from a remote server in order to maximize quality of service.…”

Section: Related Workmentioning

confidence: 99%

Network-Assisted Mobile Computing with Optimal Uplink Query Processing

Chan¹,

Bambos²,

Singh³

2013

IEEE Trans. on Mobile Comput.

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Abstract-Many mobile applications retrieve content from remote servers via user generated queries. Processing these queries is often needed before the desired content can be identified. Processing the request on the mobile devices can quickly sap the limited battery resources. Conversely, processing user-queries at remote servers can have slow response times due communication latency incurred during transmission of the potentially large query. We evaluate a network-assisted mobile computing scenario where midnetwork nodes with "leasing" capabilities are deployed by a service provider. Leasing computation power can reduce battery usage on the mobile devices and improve response times. However, borrowing processing power from mid-network nodes comes at a leasing cost which must be accounted for when making the decision of where processing should occur. We study the tradeoff between battery usage, processing and transmission latency, and mid-network leasing. We use the dynamic programming framework to solve for the optimal processing policies that suggest the amount of processing to be done at each mid-network node in order to minimize the processing and communication latency and processing costs. Through numerical studies, we examine the properties of the optimal processing policy and the core tradeoffs in such systems.

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