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Volumn , Issue , 2007, Pages 37-46

A unified practical approach to stochastic DVS scheduling

Author keywords

Dynamic voltage scaling; Fully polynomial time approximation scheme; Power management; Real time; Stochastic DVS scheme

Indexed keywords

ELECTRIC POTENTIAL; ENERGY UTILIZATION; MATHEMATICAL MODELS; RANDOM PROCESSES; REAL TIME SYSTEMS;

EID: 38849159890     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1289927.1289939     Document Type: Conference Paper
Times cited : (22)

References (23)
  • 9
    • 0001914342 scopus 로고    scopus 로고
    • Improving Dynamic Voltage Scaling Algorithms with PACE
    • June
    • J. Lorch and A. Smith. Improving Dynamic Voltage Scaling Algorithms with PACE. In Proceedings of ACM SIGMETRICS, June 2001.
    • (2001) Proceedings of ACM SIGMETRICS
    • Lorch, J.1    Smith, A.2
  • 11
    • 38849097124 scopus 로고    scopus 로고
    • Assisted Dynamic Power-aware Scheduling for Real-Time Applications
    • D. Mossé, H. Aydin, B. Childers, and R. Melhem. Compiler, October
    • D. Mossé, H. Aydin, B. Childers, and R. Melhem. Compiler-Assisted Dynamic Power-aware Scheduling for Real-Time Applications. In Proceedings of Workshop on Compiler and OS for Low Power (COLP), October 2000.
    • (2000) Proceedings of Workshop on Compiler and OS for Low Power (COLP)
  • 13
    • 0028320392 scopus 로고
    • Scheduling algorithms and operating systems support for real-time systems
    • January
    • K. Ramamritham and J. Stankovic. Scheduling algorithms and operating systems support for real-time systems. In Proceedings of the IEEE, January 1994.
    • (1994) Proceedings of the IEEE
    • Ramamritham, K.1    Stankovic, J.2
  • 18
    • 72349098050 scopus 로고    scopus 로고
    • http://developer.intel.com/des.ign/intelxscale/benchmarks.htm
    • Intel XScale Microarchitecture:Benchmarks, 2005. http://web.archive.org/ web/20050326232506/http://developer.intel.com/des.ign/intelxscale/benchmarks. htm.
    • (2005) Intel XScale Microarchitecture:Benchmarks


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.