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CAS: Context-Aware Background application Scheduling in Interactive Mobile Systems

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 2017年第5期35卷 1013-1029页

作者： Lee, Joohyun Lee, Kyunghan Jeong, Euijin Jo, Jaemin Shroff, Ness B. Ohio State Univ Dept Elect & Comp Engn Columbus OH 43210 USA Ulsan Natl Inst Sci & Technol Sch Elect & Comp Engn Ulsan 44919 South Korea Ohio State Univ Dept CSE Columbus OH 43210 USA

Each individual's usage behavior on mobile devices depends on a variety of factors, such as time, location, and previous actions. Hence, context-awareness provides great opportunities to make the networking and computing capabilities of mobile systems more personalized and more efficient in managing their resources. To this end, we first reveal new findings from our own Android user experiment: 1) the launching probabilities of applications follow Zipf's law and 2) inter-running and running times of applications conform to log-normal distributions. We also find contextual dependencies between application usage patterns, for which we classify contexts autonomously with unsupervised learning methods. Using the knowledge acquired, we develop a context-aware application scheduling framework, context-aware application scheduler (CAS), that adaptively unloads and pre-loads background applications for a joint optimization in which the energy saving is maximized and the user discomfort from the scheduling is minimized. Our trace-driven simulations with 96 user traces demonstrate that the context-aware design of the CAS enables it to outperform existing process scheduling algorithms. Our implementation of the CAS over Android platforms and its end-to-end evaluations verify that its human-involved design indeed provides substantial user-experience gains in both energy and application launching latency.

关键词： Context-awareness context-aware networking and computing application unloading/preloading start-up latency energy minimization

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Context-aware application Scheduling in Mobile Systems: What Will Users Do and Not Do Next? 16

Context-aware Application Scheduling in Mobile Systems: What...

引用

ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) / 20th ACM International Symposium on Wearable Computers (ISWC)

作者： Lee, Joohyun Lee, Kyunghan Jeong, Euijin Jo, Jaemin Shroff, Ness B. OSU ECE Columbus OH USA UNIST ECE Ulsan South Korea OSU ECE & CSE Columbus OH USA

ISBN: (纸本)9781450344616

Usage patterns of mobile devices depend on a variety of factors such as time, location, and previous actions. Hence, context-awareness can be the key to make mobile systems to become personalized and situation dependent in managing their resources. We first reveal new findings from our own Android user experiment: (i) the launching probabilities of applications follow Zipf's law, and (ii) inter-running and running times of applications conform to log-normal distributions. We also find context-dependency in application usage patterns, for which we classify contexts in a personalized manner with unsupervised learning methods. Using the knowledge acquired, we develop a novel context-aware application scheduling framework, CAS that adaptively unloads and preloads background applications in a timely manner. Our trace-driven simulations with 96 user traces demonstrate the benefits of CAS over existing algorithms. We also verify the practicality of CAS by implementing it on the Android platform.

关键词： Context-aware computing application unloading/preloading Start-up latency Energy minimization

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