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Volumn , Issue , 2013, Pages

Exploring portfolio scheduling for long-term execution of scientific workloads in IaaS clouds

Author keywords

IaaS Cloud; Portfolio Scheduling; Resource Provisioning; Scientific Workloads

Indexed keywords

SCHEDULING; SCHEDULING ALGORITHMS;

EID: 84899685485     PISSN: 21674329     EISSN: 21674337     Source Type: Conference Proceeding    
DOI: 10.1145/2503210.2503244     Document Type: Conference Paper
Times cited : (32)

References (45)
  • 1
    • 84899683949 scopus 로고    scopus 로고
    • Parallel workloads archive
    • Parallel workloads archive. http://www. cs. huji. ac. il/labs/parallel/workload/. 2013-02-17.
  • 2
    • 84866846978 scopus 로고    scopus 로고
    • Expert: Pareto-efficient task replication on grids and a cloud
    • O. Agmon Ben-Yehuda, A. Schuster, A. Sharov, M. Silberstein, and A. Iosup. Expert: Pareto-efficient task replication on grids and a cloud. In IPDPS, pages 167-178, 2012.
    • (2012) IPDPS , pp. 167-178
    • Agmon, B.-Y.O.1    Schuster, A.2    Sharov, A.3    Silberstein, M.4    Iosup, A.5
  • 3
    • 74049135651 scopus 로고    scopus 로고
    • Evaluating the impact of inaccurate information in utility-based scheduling
    • A. AuYoung, A. Vahdat, and A. C. Snoeren. Evaluating the impact of inaccurate information in utility-based scheduling. In SC, 2009.
    • (2009) SC
    • Auyoung, A.1    Vahdat, A.2    Snoeren, A.C.3
  • 4
    • 78650777991 scopus 로고    scopus 로고
    • Cloudsim: A toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
    • R. N. Calheiros, R. Ranjan, A. Beloglazov, C. A. F. D. Rose, and R. Buyya. Cloudsim: A toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Softw., Pract. Exper., 41(1):23-50, 2011.
    • (2011) Softw., Pract. Exper. , vol.41 , Issue.1 , pp. 23-50
    • Calheiros, R.N.1    Ranjan, R.2    Beloglazov, A.3    Rose, C.A.F.D.4    Buyya, R.5
  • 5
    • 57049137669 scopus 로고    scopus 로고
    • Design and potential performance of goal-oriented job scheduling policies for parallel computer workloads
    • S.-H. Chiang and S. Vasupongayya. Design and potential performance of goal-oriented job scheduling policies for parallel computer workloads. IEEE Trans. Parallel Distrib. Syst., 19(12):1642-1656, 2008.
    • (2008) IEEE Trans. Parallel Distrib. Syst. , vol.19 , Issue.12 , pp. 1642-1656
    • Chiang, S.-H.1    Vasupongayya, S.2
  • 7
    • 70449646932 scopus 로고    scopus 로고
    • Evaluating the cost-benefit of using cloud computing to extend the capacity of clusters
    • M. D. de Assunao, A. di Costanzo, and R. Buyya. Evaluating the cost-benefit of using cloud computing to extend the capacity of clusters. In HPDC, pages 141-150, 2009.
    • (2009) HPDC , pp. 141-150
    • De Assunao, M.D.1    Di Costanzo, A.2    Buyya, R.3
  • 8
    • 84883143792 scopus 로고    scopus 로고
    • A Periodic Portfolio Scheduler For Scientific Computing In The Data Center
    • K. Deng, R. Verboon, K. Ren, and A. Iosup. A periodic portfolio scheduler for scientific computing in the data center. In JSSPP, 2013.
    • (2013) JSSPP
    • Deng, K.1    Verboon, R.2    Ren, K.3    Iosup, A.4
  • 10
    • 80053169531 scopus 로고    scopus 로고
    • Cost-wait trade-offs in client-side resource provisioning with elastic clouds
    • S. Genaud and J. Gossa. Cost-wait trade-offs in client-side resource provisioning with elastic clouds. In IEEE CLOUD, pages 1-8, 2011.
    • (2011) IEEE CLOUD , pp. 1-8
    • Genaud, S.1    Gossa, J.2
  • 11
    • 83155182871 scopus 로고    scopus 로고
    • Flexible resource allocation for reliable virtual cluster computing systems
    • T. J. Hacker and K. Mahadik. Flexible resource allocation for reliable virtual cluster computing systems. In SC, page 48, 2011.
    • (2011) SC, Page 48
    • Hacker, T.J.1    Mahadik, K.2
  • 12
    • 0031035643 scopus 로고    scopus 로고
    • An economics approach to hard computational problems
    • B. A. Huberman, R. M. Lukose, and T. Hogg. An economics approach to hard computational problems. Science, 275(5296):51-54, 1997.
    • (1997) Science , vol.275 , Issue.5296 , pp. 51-54
    • Huberman, B.A.1    Lukose, R.M.2    Hogg, T.3
  • 14
    • 57349116875 scopus 로고    scopus 로고
    • The performance of bags-of-tasks in large-scale distributed systems
    • A. Iosup, O. O. Sonmez, S. Anoep, and D. H. J. Epema. The performance of bags-of-tasks in large-scale distributed systems. In HPDC, pages 97-108, 2008.
    • (2008) HPDC , pp. 97-108
    • Iosup, A.1    Sonmez, O.O.2    Anoep, S.3    Epema, D.H.J.4
  • 15
    • 51849153366 scopus 로고    scopus 로고
    • Dgsim: Comparing grid resource management architectures through trace-based simulation
    • A. Iosup, O. O. Sonmez, and D. H. J. Epema. Dgsim: Comparing grid resource management architectures through trace-based simulation. In Euro-Par, pages 13-25, 2008.
    • (2008) Euro-Par , pp. 13-25
    • Iosup, A.1    Sonmez, O.O.2    Epema, D.H.J.3
  • 17
    • 62749161135 scopus 로고    scopus 로고
    • Contextualization: Providing one-click virtual clusters
    • K. Keahey and T. Freeman. Contextualization: Providing one-click virtual clusters. In eScience, pages 301-308, 2008.
    • (2008) EScience , pp. 301-308
    • Keahey, K.1    Freeman, T.2
  • 18
    • 0028436872 scopus 로고
    • Job scheduling is more important than processor allocation for hypercube computers
    • P. Krueger, T.-H. Lai, and V. A. Dixit-Radiya. Job scheduling is more important than processor allocation for hypercube computers. IEEE Trans. Parallel Distrib. Syst., 5(5):488-497, 1994.
    • (1994) IEEE Trans. Parallel Distrib. Syst. , vol.5 , Issue.5 , pp. 488-497
    • Krueger, P.1    Lai, T.-H.2    Dixit-Radiya, V.A.3
  • 19
    • 33746288483 scopus 로고    scopus 로고
    • Self-adaptive scheduler parameterization via online simulation
    • B. Lawson and E. Smirni. Self-adaptive scheduler parameterization via online simulation. In IPDPS, 2005.
    • (2005) IPDPS
    • Lawson, B.1    Smirni, E.2
  • 20
    • 84947720919 scopus 로고
    • The anl/ibm sp scheduling system
    • D. A. Lifka. The anl/ibm sp scheduling system. In JSSPP, pages 295-303, 1995.
    • (1995) JSSPP , pp. 295-303
    • Lifka, D.A.1
  • 21
    • 84877695719 scopus 로고    scopus 로고
    • Cost-and deadline-constrained provisioning for scientific workflow ensembles in iaas clouds
    • M. Malawski, G. Juve, E. Deelman, and J. Nabrzyski. Cost-and deadline-constrained provisioning for scientific workflow ensembles in iaas clouds. In SC, page 22, 2012.
    • (2012) SC, Page 22
    • Malawski, M.1    Juve, G.2    Deelman, E.3    Nabrzyski, J.4
  • 22
    • 83155182885 scopus 로고    scopus 로고
    • Auto-scaling to minimize cost and meet application deadlines in cloud workflows
    • M. Mao and M. Humphrey. Auto-scaling to minimize cost and meet application deadlines in cloud workflows. In SC, page 49, 2011.
    • (2011) SC, Page 49
    • Mao, M.1    Humphrey, M.2
  • 23
    • 84866744447 scopus 로고    scopus 로고
    • A performance study on the vm startup time in the cloud
    • M. Mao and M. Humphrey. A performance study on the vm startup time in the cloud. In IEEE CLOUD, pages 423-430, 2012.
    • (2012) IEEE CLOUD , pp. 423-430
    • Mao, M.1    Humphrey, M.2
  • 24
    • 84995186518 scopus 로고
    • Portfolio selection
    • H. Markowitz. Portfolio selection. The journal of nance, 7(1):77-91, 1952.
    • (1952) The Journal of Nance , vol.7 , Issue.1 , pp. 77-91
    • Markowitz, H.1
  • 25
    • 84867431260 scopus 로고    scopus 로고
    • Provisioning policies for elastic computing environments
    • P. Marshall, H. M. Tufo, and K. Keahey. Provisioning policies for elastic computing environments. In IPDPS Workshops, pages 1085-1094, 2012.
    • (2012) IPDPS Workshops , pp. 1085-1094
    • Marshall, P.1    Tufo, H.M.2    Keahey, K.3
  • 26
    • 84859732503 scopus 로고    scopus 로고
    • On the use of machine learning to predict the time and resources consumed by applications
    • A. M. Matsunaga and J. A. B. Fortes. On the use of machine learning to predict the time and resources consumed by applications. In CCGRID, pages 495-504, 2010.
    • (2010) CCGRID , pp. 495-504
    • Matsunaga, A.M.1    Fortes, J.A.B.2
  • 27
    • 84874037947 scopus 로고    scopus 로고
    • Free elasticity and free cpu power for scientific workloads on iaas clouds
    • E. Michon, J. Gossa, and S. Genaud. Free elasticity and free cpu power for scientific workloads on iaas clouds. In ICPADS, pages 85-92, 2012.
    • (2012) ICPADS , pp. 85-92
    • Michon, E.1    Gossa, J.2    Genaud, S.3
  • 28
    • 84874253218 scopus 로고    scopus 로고
    • Stochastic tail-phase optimization for bag-of-tasks execution in clouds
    • A.-M. Oprescu, T. Kielmann, and H. Leahu. Stochastic tail-phase optimization for bag-of-tasks execution in clouds. In UCC, pages 204-208, 2012.
    • (2012) UCC , pp. 204-208
    • Oprescu, A.-M.1    Kielmann, T.2    Leahu, H.3
  • 29
    • 0003056605 scopus 로고
    • The algorithm selection problem
    • J. R. Rice. The algorithm selection problem. Advances in Computers, 15:65-118, 1976.
    • (1976) Advances in Computers , vol.15 , pp. 65-118
    • Rice, J.R.1
  • 30
    • 84899704206 scopus 로고    scopus 로고
    • Heuristics for resource matching in intel's compute farm
    • O. Shai, E. Shmueli, and D. G. Feitelson. Heuristics for resource matching in intel's compute farm. In JSSPP, 2013.
    • (2013) JSSPP
    • Shai, O.1    Shmueli, E.2    Feitelson, D.G.3
  • 31
    • 84883153688 scopus 로고    scopus 로고
    • Scheduling jobs in the cloud using on-demand and reserved instances
    • S. Shen, K. Deng, A. Iosup, and D. H. J. Epema. Scheduling jobs in the cloud using on-demand and reserved instances. In Euro-Par, pages 242-254, 2013.
    • (2013) Euro-Par , pp. 242-254
    • Shen, S.1    Deng, K.2    Iosup, A.3    Epema, D.H.J.4
  • 32
    • 23744462024 scopus 로고    scopus 로고
    • Backfilling with lookahead to optimize the packing of parallel jobs
    • E. Shmueli and D. G. Feitelson. Backfilling with lookahead to optimize the packing of parallel jobs. J. Parallel Distrib. Comput., 65(9):1090-1107, 2005.
    • (2005) J. Parallel Distrib. Comput. , vol.65 , Issue.9 , pp. 1090-1107
    • Shmueli, E.1    Feitelson, D.G.2
  • 33
    • 34548780193 scopus 로고    scopus 로고
    • Prediction services for distributed computing
    • W. Smith. Prediction services for distributed computing. In IPDPS, pages 1-10, 2007.
    • (2007) IPDPS , pp. 1-10
    • Smith, W.1
  • 34
    • 49749086726 scopus 로고    scopus 로고
    • Cross-disciplinary perspectives on meta-learning for algorithm selection
    • K. Smith-Miles. Cross-disciplinary perspectives on meta-learning for algorithm selection. ACM Comput. Surv., 41(1), 2008.
    • (2008) ACM Comput. Surv. , vol.41 , Issue.1
    • Smith-Miles, K.1
  • 35
    • 78650027488 scopus 로고    scopus 로고
    • Performance analysis of dynamic workflow scheduling in multicluster grids
    • O. O. Sonmez, N. Yigitbasi, S. Abrishami, A. Iosup, and D. H. J. Epema. Performance analysis of dynamic workflow scheduling in multicluster grids. In HPDC, pages 49-60, 2010.
    • (2010) HPDC , pp. 49-60
    • Sonmez, O.O.1    Yigitbasi, N.2    Abrishami, S.3    Iosup, A.4    Epema, D.H.J.5
  • 36
    • 70449641061 scopus 로고    scopus 로고
    • Trace-based evaluation of job runtime and queue wait time predictions in grids
    • O. O. Sonmez, N. Yigitbasi, A. Iosup, and D. H. J. Epema. Trace-based evaluation of job runtime and queue wait time predictions in grids. In HPDC, pages 111-120, 2009.
    • (2009) HPDC , pp. 111-120
    • Sonmez, O.O.1    Yigitbasi, N.2    Iosup, A.3    Epema, D.H.J.4
  • 37
    • 84974661290 scopus 로고    scopus 로고
    • Selective reservation strategies for backfill job scheduling
    • S. Srinivasan, R. Kettimuthu, V. Subramani, and P. Sadayappan. Selective reservation strategies for backfill job scheduling. In JSSPP, pages 55-71, 2002.
    • (2002) JSSPP , pp. 55-71
    • Srinivasan, S.1    Kettimuthu, R.2    Subramani, V.3    Sadayappan, P.4
  • 38
    • 33746272430 scopus 로고    scopus 로고
    • Improving and stabilizing parallel computer performance using adaptive backfilling
    • D. Talby and D. G. Feitelson. Improving and stabilizing parallel computer performance using adaptive backfilling. In IPDPS, 2005.
    • (2005) IPDPS
    • Talby, D.1    Feitelson, D.G.2
  • 39
    • 72049093226 scopus 로고    scopus 로고
    • Fault-aware, utility-based job scheduling on blue, gene/p systems
    • W. Tang, Z. Lan, N. Desai, and D. Buettner. Fault-aware, utility-based job scheduling on blue, gene/p systems. In CLUSTER, pages 1-10, 2009.
    • (2009) CLUSTER , pp. 1-10
    • Tang, W.1    Lan, Z.2    Desai, N.3    Buettner, D.4
  • 41
    • 84863663854 scopus 로고    scopus 로고
    • An analysis of provisioning and allocation policies for infrastructure-as-a-service clouds
    • D. Villegas, A. Antoniou, S. M. Sadjadi, and A. Iosup. An analysis of provisioning and allocation policies for infrastructure-as-a-service clouds. In CCGRID, pages 612-619, 2012.
    • (2012) CCGRID , pp. 612-619
    • Villegas, D.1    Antoniou, A.2    Sadjadi, S.M.3    Iosup, A.4
  • 42
  • 43
    • 84855349233 scopus 로고    scopus 로고
    • Cloud, can scientific communities benefit from the economies of scale?
    • L. Wang, J. Zhan, W. Shi, and Y. Liang. In cloud, can scientific communities benefit from the economies of scale? IEEE Trans. Parallel Distrib. Syst., 23(2):296-303, 2012.
    • (2012) IEEE Trans. Parallel Distrib. Syst. , vol.23 , Issue.2 , pp. 296-303
    • Wang, L.1    Zhan, J.2    Shi, W.3    Liang, Y.4
  • 44
    • 0035363047 scopus 로고    scopus 로고
    • Utilization, predictability, workloads, and user runtime estimates in scheduling the ibm sp2 with backfilling
    • A. M. Weil and D. G. Feitelson. Utilization, predictability, workloads, and user runtime estimates in scheduling the ibm sp2 with backfilling. IEEE Trans. Parallel Distrib. Syst., 12(6):529-543, 2001.
    • (2001) IEEE Trans. Parallel Distrib. Syst. , vol.12 , Issue.6 , pp. 529-543
    • Weil, A.M.1    Feitelson, D.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.