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Volumn 25, Issue 18, 2013, Pages 2501-2522

Analysis of power-saving techniques over a large multi-use cluster with variable workload

Author keywords

cluster; energy; policy; simulation

Indexed keywords

PUBLIC POLICY; USER EXPERIENCE;

EID: 84888645507     PISSN: 15320626     EISSN: 15320634     Source Type: Journal    
DOI: 10.1002/cpe.3082     Document Type: Review
Times cited : (10)

References (34)
  • 2
    • 84888638906 scopus 로고    scopus 로고
    • Hewlett-packard corporation
    • Intel Corporation, Microsoft Corporation, Phoenix Technologies Ltd and Toshiba Corporation May 2013
    • Hewlett-Packard Corporation, Intel Corporation, Microsoft Corporation, Phoenix Technologies Ltd and Toshiba Corporation. ACPI Specification. (Available from: http://www.acpi.info/DOWNLOADS/ACPIspec40a.pdf) May 2013.
    • ACPI Specification
  • 5
    • 67650160509 scopus 로고    scopus 로고
    • Improving energy-efficiency of grid computing clusters
    • In, LNCS. Springer-Verlag Berlin: Heidelberg, Germany.
    • Niemi T, Kommeri J, Happonen K, Klem J, Hameri AP,. Improving energy-efficiency of grid computing clusters. In Advances in Grid and Pervasive Computing, Vol. 5529, LNCS. Springer-Verlag Berlin: Heidelberg, Germany, 2009; 110-118.
    • (2009) Advances in Grid and Pervasive Computing , vol.5529 , pp. 110-118
    • Niemi, T.1    Kommeri, J.2    Happonen, K.3    Klem, J.4    Hameri, A.P.5
  • 7
    • 0036871428 scopus 로고    scopus 로고
    • GridSim: A toolkit for the modeling and simulation of distributed resource management and scheduling for grid computing
    • Buyya R, Murshed M,. GridSim: a toolkit for the modeling and simulation of distributed resource management and scheduling for grid computing. Concurrency and Computation: Practice and Experience 2002; 14 (13): 1175-1220.
    • (2002) Concurrency and Computation: Practice and Experience , vol.14 , Issue.13 , pp. 1175-1220
    • Buyya, R.1    Murshed, M.2
  • 9
    • 78650777991 scopus 로고    scopus 로고
    • CloudSim: A toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
    • DOI: 10.1002/spe.995. (Available from: http://dx.doi.org/10.1002/spe.995) .
    • Calheiros RN, Ranjan R, Beloglazov A, De Rose CAF, Buyya R,. CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Software: Practice and Experience 2011; 41 (1): 23-50. DOI: 10.1002/spe.995. (Available from: http://dx.doi.org/10.1002/spe.995).
    • (2011) Software: Practice and Experience , vol.41 , Issue.1 , pp. 23-50
    • Calheiros, R.N.1    Ranjan, R.2    Beloglazov, A.3    De Rose, C.A.F.4    Buyya, R.5
  • 12
    • 0036041121 scopus 로고    scopus 로고
    • Managing energy and server resources in hosting centers
    • DOI: 10.1145/502059.502045. (Available from: http://doi.acm.org/10.1145/ 502059.502045).
    • Chase JS, Anderson DC, Thakar PN, Vahdat AM, Doyle RP,. Managing energy and server resources in hosting centers. SIGOPS-Operating Systems Review 2001; 35 (5): 103-116. DOI: 10.1145/502059.502045. (Available from: http://doi.acm.org/10.1145/502059.502045).
    • (2001) SIGOPS - Operating Systems Review , vol.35 , Issue.5 , pp. 103-116
    • Chase, J.S.1    Anderson, D.C.2    Thakar, P.N.3    Vahdat, A.M.4    Doyle, R.P.5
  • 13
    • 84865191372 scopus 로고    scopus 로고
    • On evaluating request-distribution schemes for saving energy in server clusters
    • In. IEEE Computer Society: Washington, DC, USA, (Available from: http://dl.acm.org/citation.cfm?id=1153924.1154555).
    • Rajamani K, Lefurgy C., On evaluating request-distribution schemes for saving energy in server clusters. In Proceedings of the 2003 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS '03. IEEE Computer Society: Washington, DC, USA, 2003; 111-122. (Available from: http://dl.acm.org/citation.cfm?id=1153924.1154555).
    • (2003) Proceedings of the 2003 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS '03 , pp. 111-122
    • Rajamani, K.1    Lefurgy, C.2
  • 14
    • 57349121962 scopus 로고    scopus 로고
    • Power-aware dynamic placement of HPC applications
    • In. ACM: New York, NY, USA, DOI: 10.1145/1375527.1375555. (Available from: http://doi.acm.org/10.1145/1375527.1375555).
    • Verma A, Ahuja P, Neogi A,. Power-aware dynamic placement of HPC applications. In Proceedings of the 22nd Annual International Conference on Supercomputing, ICS '08. ACM: New York, NY, USA, 2008; 175-184. DOI: 10.1145/1375527.1375555. (Available from: http://doi.acm.org/10.1145/1375527. 1375555).
    • (2008) Proceedings of the 22nd Annual International Conference on Supercomputing, ICS '08 , pp. 175-184
    • Verma, A.1    Ahuja, P.2    Neogi, A.3
  • 15
    • 70349862229 scopus 로고    scopus 로고
    • Dynamic server allocation for power and performance
    • In, Kounev S. Gorton I. Sachs K. (eds), Lecture Notes in Computer Science. Springer Berlin Heidelberg: Heidelberg, Germany, DOI: 10.1007/978-3-540-69814-2-16. (Available from: http://dx.doi.org/10.1007/978-3- 540-69814-2-16).
    • Slegers J, Thomas N, Mitrani I,. Dynamic server allocation for power and performance. In Performance Evaluation: Metrics, Models and Benchmarks, Vol. 5119, Kounev S, Gorton I, Sachs K, (eds), Lecture Notes in Computer Science. Springer Berlin Heidelberg: Heidelberg, Germany, 2008; 247-261. DOI: 10.1007/978-3-540-69814-2-16. (Available from: http://dx.doi.org/10.1007/978-3- 540-69814-2-16).
    • (2008) Performance Evaluation: Metrics, Models and Benchmarks , vol.5119 , pp. 247-261
    • Slegers, J.1    Thomas, N.2    Mitrani, I.3
  • 18
    • 85021450123 scopus 로고    scopus 로고
    • Energy-aware consolidation for cloud computing
    • In. USENIX Association: Berkeley, CA, USA, (Available from: http://dl.acm.org/citation.cfm?id=1855610.1855620).
    • Srikantaiah S, Kansal A, Zhao F,. Energy-aware consolidation for cloud computing. In Proceedings of the 2008 Conference on Power Aware Computing and Systems, HotPower'08. USENIX Association: Berkeley, CA, USA, 2008; 10-10. (Available from: http://dl.acm.org/citation.cfm?id=1855610.1855620).
    • (2008) Proceedings of the 2008 Conference on Power Aware Computing and Systems, HotPower'08 , pp. 10-10
    • Srikantaiah, S.1    Kansal, A.2    Zhao, F.3
  • 21
    • 47249127725 scopus 로고    scopus 로고
    • The case for energy-proportional computing
    • Barroso LA, Holzle U,. The case for energy-proportional computing. Computer 2007; 40 (12): 33-37.
    • (2007) Computer , vol.40 , Issue.12 , pp. 33-37
    • Barroso, L.A.1    Holzle, U.2
  • 22
    • 67650086775 scopus 로고    scopus 로고
    • VirtualPower: Coordinated power management in virtualized enterprise systems
    • DOI: 10.1145/1323293.1294287. (Available from: http://doi.acm.org/10. 1145/1323293.1294287).
    • Nathuji R, Schwan K,. VirtualPower: coordinated power management in virtualized enterprise systems. SIGOPS-Operating Systems Review 2007; 41 (6): 265-278. DOI: 10.1145/1323293.1294287. (Available from: http://doi.acm.org/10. 1145/1323293.1294287).
    • (2007) SIGOPS - Operating Systems Review , vol.41 , Issue.6 , pp. 265-278
    • Nathuji, R.1    Schwan, K.2
  • 23
    • 58149091441 scopus 로고    scopus 로고
    • PMapper: Power and migration cost aware application placement in virtualized systems
    • In. Springer: New York, NY, USA.
    • Verma A, Ahuja P, Neogi A,. pMapper: power and migration cost aware application placement in virtualized systems. In Middleware 2008. Springer: New York, NY, USA, 2008; 243-264.
    • (2008) Middleware 2008 , pp. 243-264
    • Verma, A.1    Ahuja, P.2    Neogi, A.3
  • 24
    • 84857370722 scopus 로고    scopus 로고
    • Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing
    • DOI: 10.1016/j.future.2011.04.017. (Available from: http://www. sciencedirect.com/science/article/pii/S0167739X11000689), Special Section: Energy efficiency in large-scale distributed systems.
    • Beloglazov A, Abawajy J, Buyya R,. Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing. Future Generation Computer Systems 2012; 28 (5): 755-768. DOI: 10.1016/j.future.2011. 04.017. (Available from: http://www.sciencedirect.com/science/article/pii/ S0167739X11000689), Special Section: Energy efficiency in large-scale distributed systems.
    • (2012) Future Generation Computer Systems , vol.28 , Issue.5 , pp. 755-768
    • Beloglazov, A.1    Abawajy, J.2    Buyya, R.3
  • 25
    • 84888636396 scopus 로고    scopus 로고
    • Arjuna Technologies Ltd. Agility for Energy Reduction, Oct.
    • Arjuna Technologies Ltd. Agility for Energy Reduction, Oct. 2011. (Available from: http://www.arjuna.com/energyreduction).
    • (2011)
  • 27
    • 84888644554 scopus 로고    scopus 로고
    • The HTCondor Team University of Wisconsin, May
    • The HTCondor Team. HTCondor manual, University of Wisconsin, May 2013. (Available from: http://research.cs.wisc.edu/htcondor/manual/).
    • (2013) HTCondor Manual
  • 28
    • 84856114233 scopus 로고    scopus 로고
    • Arjuna Technologies Ltd Oct.
    • Arjuna Technologies Ltd. Agility Cloud Computing Platform, Oct. 2011. (Available from: http://www.arjuna.com/agility).
    • (2011) Agility Cloud Computing Platform
  • 30
    • 84888642143 scopus 로고    scopus 로고
    • MathWorks. MATLAB May 2013
    • MathWorks. MATLAB. (Available from: http://www.mathworks.co.uk/) May 2013.
  • 32
    • 84888643801 scopus 로고    scopus 로고
    • Sourceforge project. The iperf project May 2013
    • Sourceforge project. The iperf project. (Available from: http://iperf.sourceforge.net/) May 2013.
  • 34
    • 65249185586 scopus 로고    scopus 로고
    • Identifying shades of green: The SPECpower benchmarks
    • DOI: 10.1109/MC.2009.84.
    • Lange K-D,. Identifying shades of green: the SPECpower benchmarks. Computer 2009; 42 (3): 95-97. DOI: 10.1109/MC.2009.84.
    • (2009) Computer , vol.42 , Issue.3 , pp. 95-97
    • Lange, K.-D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.