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Volumn , Issue , 2015, Pages 423-430

An energy-saving task scheduler for mobile devices

Author keywords

cloud computing; code offloading; energy management; mobile computing; scheduling

Indexed keywords

ANDROID (OPERATING SYSTEM); CLOUD COMPUTING; CODES (SYMBOLS); ENERGY CONSERVATION; ENERGY MANAGEMENT; ENERGY UTILIZATION; INFORMATION SCIENCE; MOBILE COMPUTING; MOBILE TELECOMMUNICATION SYSTEMS; POWER MANAGEMENT; SCHEDULING; SILICATE MINERALS; WI-FI;

EID: 84945289205     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIS.2015.7166631     Document Type: Conference Paper
Times cited : (21)

References (12)
  • 2
  • 3
    • 84924044941 scopus 로고    scopus 로고
    • Trepn Profiler. https://developer.qualcomm.com/mobiledevelopment/ increase-app-performance/trepn-profiler, 2014.
    • (2014) Trepn Profiler
  • 5
    • 84945301704 scopus 로고    scopus 로고
    • Highest Response Ratio Next. http://en.wikipedia.org/wiki/Highest-response-ratio-next, 2014.
    • (2014) Highest Response Ratio Next
  • 12
    • 84885074829 scopus 로고    scopus 로고
    • BAVC: Classifying benign atomicity violations via machine learning
    • Sep
    • Q. Chen, H. Qian et al. BAVC: Classifying Benign Atomicity Violations via Machine Learning. In Advanced Materials Research, Vols 765-767, pp. 1576-1580, Sep, 2013.
    • (2013) Advanced Materials Research , vol.765-767 , pp. 1576-1580
    • Chen, Q.1    Qian, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.