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Volumn , Issue , 2014, Pages 192-199

Energy and performance-aware task scheduling in a mobile cloud computing environment

Author keywords

energy minimization; hard deadline constraint; mobile cloud computing (MCC); task scheduling

Indexed keywords

ENERGY CONSERVATION; ENERGY DISSIPATION; MULTITASKING; SCHEDULING;

EID: 84919787417     PISSN: 21596182     EISSN: 21596190     Source Type: Conference Proceeding    
DOI: 10.1109/CLOUD.2014.35     Document Type: Conference Paper
Times cited : (35)

References (13)
  • 5
    • 15244347963 scopus 로고    scopus 로고
    • A compilation framework for power and energy management on mobile computers
    • Springer Berlin Heidelberg
    • U. Kremer, J. Hicks, and J. M. Rehg, "A compilation framework for power and energy management on mobile computers," in Languages and Compilers for Parallel Computing, Springer Berlin Heidelberg, 2003.
    • (2003) Languages and Compilers for Parallel Computing
    • Kremer, U.1    Hicks, J.2    Rehg, J.M.3
  • 6
    • 0036504666 scopus 로고    scopus 로고
    • Performance-effective and low-complexity task scheduling for heterogeneous computing
    • H. Topcuoglu, S. Hariri, and M. Y. Wu, "Performance-effective and low-complexity task scheduling for heterogeneous computing," IEEE Trans. on Parallel and Distributed Systems, vol. 13, no. 3, 2002.
    • (2002) IEEE Trans. on Parallel and Distributed Systems , vol.13 , Issue.3
    • Topcuoglu, H.1    Hariri, S.2    Wu, M.Y.3
  • 12
    • 77951039985 scopus 로고    scopus 로고
    • Cloud computing for mobile users: Can offloading computation save energy
    • K. Kumar and Y. H. Lu, "Cloud computing for mobile users: can offloading computation save energy," Computer, 2010.
    • (2010) Computer
    • Kumar, K.1    Lu, Y.H.2
  • 13
    • 84881300403 scopus 로고    scopus 로고
    • Big. LITTLE processing with ARM Cortex-A15 & Cortex-A7
    • P. Greenhalgh, "Big. LITTLE processing with ARM Cortex-A15 & Cortex-A7," ARM White Paper, 2011.
    • (2011) ARM White Paper
    • Greenhalgh, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.