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dc.contributor.author이주현-
dc.date.accessioned2018-06-12T00:03:59Z-
dc.date.available2018-06-12T00:03:59Z-
dc.date.issued2017-03-
dc.identifier.citationIEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, v. 35, No. 5, Page. 1013-1029en_US
dc.identifier.issn0733-8716-
dc.identifier.urihttps://ieeexplore.ieee.org/abstract/document/7869347/-
dc.identifier.urihttp://repository.hanyang.ac.kr/handle/20.500.11754/72007-
dc.description.abstractEach 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.en_US
dc.description.sponsorshipThis work was supported in part by the National Science Foundation under Grant CNS-1409336 and Grant CNS-1446582, in part by the Army Research Lab under Grant MURI W911NF-12-1-0385, in part by the MSIP of Korea government under Grant NRF-2016R1D1A1B03935042 and Grant IITP No. 2015000278 (Research on NearZero Latency Network for 5G Immersive Service), and in part by the research funds of UNIST under Grant 1.160048.01 and Grant 1.17004.01. A preliminary version of this work was presented at the ACM UbiComp 2016 [1].en_US
dc.language.isoen_USen_US
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_US
dc.subjectenergy minimizationen_US
dc.subjectstart-up latencyen_US
dc.subjectContext-awarenessen_US
dc.subjectcontext-aware networking and computingen_US
dc.subjectapplication unloading/preloadingen_US
dc.titleCAS: Context-Aware Background Application Scheduling in Interactive Mobile Systemsen_US
dc.typeArticleen_US
dc.relation.no5-
dc.relation.volume35-
dc.identifier.doi10.1109/JSAC.2017.2676918-
dc.relation.page1013-1029-
dc.relation.journalIEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS-
dc.contributor.googleauthorLee, Joohyun-
dc.contributor.googleauthorLee, Kyunghan-
dc.contributor.googleauthorJeong, Euijin-
dc.contributor.googleauthorJo, Jaemin-
dc.contributor.googleauthorShroff, Ness B.-
dc.relation.code2017001274-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF ENGINEERING SCIENCES[E]-
dc.sector.departmentDIVISION OF ELECTRICAL ENGINEERING-
dc.identifier.pidjoohyunlee-
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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