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Balancing Interactive Performance and Budgeted Resources in Mobile Computing.

dc.contributor.authorHiggins, Brett Douglasen_US
dc.date.accessioned2014-10-13T18:20:17Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2014-10-13T18:20:17Z
dc.date.issued2014en_US
dc.date.submitted2014en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/108956
dc.description.abstractIn this dissertation, we explore the various limited resources involved in mobile applications --- battery energy, cellular data usage, and, critically, user attention --- and we devise principled methods for managing the tradeoffs involved in creating a good user experience. Building quality mobile applications requires developers to understand complex interactions between network usage, performance, and resource consumption. Because of this difficulty, developers commonly choose simple but suboptimal approaches that strictly prioritize performance or resource conservation. These extremes are symptoms of a lack of system-provided abstractions for managing the complexity inherent in managing performance/resource tradeoffs. By providing abstractions that help applications manage these tradeoffs, mobile systems can significantly improve user-visible performance without exhausting resource budgets. This dissertation explores three such abstractions in detail. We first present Intentional Networking, a system that provides synchronization primitives and intelligent scheduling for multi-network traffic. Next, we present Informed Mobile Prefetching, a system that helps applications decide when to prefetch data and how aggressively to spend limited battery energy and cellular data resources toward that end. Finally, we present Meatballs, a library that helps applications consider the cloudy nature of predictions when making decisions, selectively employing redundancy to mitigate uncertainty and provide more reliable performance. Overall, experiments show that these abstractions can significantly reduce interactive delay without overspending the available energy and data resources.en_US
dc.language.isoen_USen_US
dc.subjectBalancing Interactive Performance and Budgeted Resources in Mobile Computingen_US
dc.subjectMobile Computingen_US
dc.subjectInteractive Performanceen_US
dc.subjectBudgeted Resourcesen_US
dc.titleBalancing Interactive Performance and Budgeted Resources in Mobile Computing.en_US
dc.typeThesisen_US
dc.description.thesisdegreenamePHDen_US
dc.description.thesisdegreedisciplineComputer Science and Engineeringen_US
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studiesen_US
dc.contributor.committeememberFlinn, Jason Nelsonen_US
dc.contributor.committeememberNoble, Brian D.en_US
dc.contributor.committeememberLiu, Mingyanen_US
dc.contributor.committeememberMao, Z. Morleyen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/108956/1/brettdh_1.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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