Balancing Interactive Performance and Budgeted Resources in Mobile Computing.

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dc.contributor.author Higgins, Brett Douglas en_US
dc.date.accessioned 2014-10-13T18:20:17Z
dc.date.available NO_RESTRICTION en_US
dc.date.available 2014-10-13T18:20:17Z
dc.date.issued 2014 en_US
dc.date.submitted 2014 en_US
dc.identifier.uri http://hdl.handle.net/2027.42/108956
dc.description.abstract In 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.iso en_US en_US
dc.subject Balancing Interactive Performance and Budgeted Resources in Mobile Computing en_US
dc.subject Mobile Computing en_US
dc.subject Interactive Performance en_US
dc.subject Budgeted Resources en_US
dc.title Balancing Interactive Performance and Budgeted Resources in Mobile Computing. en_US
dc.description.thesisdegreename PHD en_US
dc.description.thesisdegreediscipline Computer Science and Engineering en_US
dc.description.thesisdegreegrantor University of Michigan, Horace H. Rackham School of Graduate Studies en_US
dc.contributor.committeemember Flinn, Jason Nelson en_US
dc.contributor.committeemember Noble, Brian D. en_US
dc.contributor.committeemember Liu, Mingyan en_US
dc.contributor.committeemember Mao, Z. Morley en_US
dc.subject.hlbsecondlevel Computer Science en_US
dc.subject.hlbtoplevel Engineering en_US
dc.description.bitstreamurl http://deepblue.lib.umich.edu/bitstream/2027.42/108956/1/brettdh_1.pdf
dc.owningcollname Dissertations and Theses (Ph.D. and Master's)
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