Just-In-Time Push Prefetching: Accelerating the Mobile Web

Armstrong, Neil; Ward, Paul A. S.

doi:10.1109/aina.2013.145

Cited by 4 publications

(1 citation statement)

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“…Schreiber et al (2009) suggested amobileaccessprefetchingmodelfortheapplicationsinService-OrientedArchitectures(SOA). Thereareexistencesoftheotheradditionalexamples (XinLiu&Deters,2007;Qaiseretal.,2011;Armstrong & Ward, 2013) also that extend a dual prefetching method at proxy/server-side and client-side.Whereastheamountofprefetchingstrategiesbasedonthecontextisminimal,onecan saythat,inrecentyears,itwouldbeahottopicforresearchincomputing-basedonlineservices (Truong&Dustdar,2009).Inthefieldofmobilenetworks,contextknowledgewasmainlyextended toadjustcontext-dependentcommunicationprotocols(Papageorgioetal.,2014)orforcustomizing performanceforthedevicedependinguponinformationneedsfortheuser (Gavalas&Kenteris,2011). Thepresentworksonmobilecomputingbasedprefetchingtechniquesaddressedtheimprovement ofcachingperformance,notably.WiththeaidofIntelligentInternetofThings(IoT)forbigdata analytics,includingpatternrecognitionorprognosticmodeling,thisapproachaimstocacheaccess optimizationanduserexperienceenhancement.…”

Section: Location Dependent Data Pre-fetching (Pf) and Its Classifica...mentioning

confidence: 99%

A Literature Review of Location-Aware Computing Policies

Gupta

Shanker

2020

International Journal of Mobile Human Computer Interaction

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Location-aware computing systems implementation has the challenge of maintaining its consistency due to frequent disconnections in the mobile environment. Many other exciting issues associated with this domain provide a fertile ground for many mobile database researchers to tackle. This work contributes by taking up-to-date literature on current location-aware mobile data management practices. The paper includes taxonomy for caching, map-matching, and location privacy protection with spatial-temporal queries, unlike other review papers, which only address a specific aspect of location-dependent data management. First, an in-depth analysis of state-of-the-art and classified literature is presented, taking into account the domain of application models and approaches for evaluation. Secondly, it provides a theoretical and analytical investigation of location-conscious computing approaches available in the literature, examining the merit and demerit of each method and the evolving processes between them. Finally, the paper highlighted the outstanding opportunities for future research directions.

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Section: Location Dependent Data Pre-fetching (Pf) and Its Classifica...mentioning

confidence: 99%