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Optimizing Mobile Application Performance through Network Infrastructure Aware Adaptation.

dc.contributor.authorXu, Qiangen_US
dc.date.accessioned2013-09-24T16:01:37Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2013-09-24T16:01:37Z
dc.date.issued2013en_US
dc.date.submitted2013en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/99829
dc.description.abstractEncouraged by the fast adoption of mobile devices and the widespread deployment of mobile networks, mobile applications are becoming the preferred “gateways” connecting users to networking services. Although the CPU capability of mobile devices is approaching that of off-the-shelf PCs, the performance of mobile networking applications is still far behind. One of the fundamental reasons is that most mobile applications are unaware of the mobile network specific characteristics, leading to inefficient network and device resource utilization. Thus, in order to improve the user experience for most mobile applications, it is essential to dive into the critical network components along network connections including mobile networks, smartphone platforms, mobile applications, and content partners. We aim to optimize the performance of mobile network applications through network-aware resource adaptation approaches. Our techniques consist of the following four aspects: (i) revealing the fundamental infrastructure characteristics of cellular networks that are distinctive from wireline networks; (ii) isolating the impact of important factors on user perceived performance in mobile network applications; (iii) determining the particular usage patterns of mobile applications; and (iv) improving the performance of mobile applications through network aware adaptations.en_US
dc.language.isoen_USen_US
dc.subjectCellular Infrastructure, Mobile Application, Performance Adaptationen_US
dc.titleOptimizing Mobile Application Performance through Network Infrastructure Aware Adaptation.en_US
dc.typeThesisen_US
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineComputer Science & Engineeringen_US
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studiesen_US
dc.contributor.committeememberMao, Z. Morleyen_US
dc.contributor.committeememberDick, Roberten_US
dc.contributor.committeememberFlinn, Jason Nelsonen_US
dc.contributor.committeememberQian, Fengen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/99829/1/qiangxu_1.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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