Cost-oriented proactive fault tolerance approach to high performance computing (HPC) in the cloud

REFERENCES

• Amazon. [Online]. Available at. http://aws.amazon.com/ec2/.
   Google Scholar
• Baremetalcloud. [Online]. Available at. http://baremetalcloud.com/index.php/en/.
   Google Scholar
• B.P.Rimal, E.Choi, and I.Lumb, A taxonomy and survey of cloud computing systems, in NCM ’09: Proceedings of the 2009 Fifth International Joint Conference on INC, IMS and IDC. Washington, DC, USA, IEEE Comp. Society, 2009, pp. 44–51.
   Google Scholar
• Nicholas Carr. [Online]. Available at. http://www.roughtype.com/?p = 279.
   Google Scholar
• CFDR. Available at. http://cfdr.usenix.org (2012)
   Google Scholar
• B.Schroeder and G.A.Gibson, A Large-Scale Study of Failures in High Performance Computing Systems, Dependable and Secure Computing, IEEE Transactions7(4) (2010), pp. 337–351.
   Google Scholar
• AlGeist and ChristianEngelmann, Development of naturally fault tolerant algorithms for computing on 100,000 processors, J. Parallel Distributed Comput. (2002). Available at www.csm.ornl.gov/∼geist.
   Google Scholar
• R.Riesen, K.Ferreira, and J.Stearley, See Applications Run and Throughput Jump: The Case for Redundant Computing in HPC, in Proceedings of the 2010 International Conference on Dependable Systems and Networks Workshops (DSN-W), DSNW ’10, Washington, DC, USA, IEEE Computer Society, 2010, pp. 29–34.
   Google Scholar
• HuajunHu, SuchangGuo, and BoYang, Cost-oriented task allocation and hardware redundancy policies in heterogeneous distributed computing systems considering software reliability, Comput. Ind. Eng.56(4) (2009), pp. 1687–1696.
   Web of Science ®Google Scholar
• C.-C.Hsieh, Optimal task allocation and hardware redundancy policies in distributed computing systems, Eur. J. Operational Res.147(2) (2003), pp. 430–447.
   Web of Science ®Google Scholar
• F.Cappello, Fault Tolerance in Petascale/exascale systems: current knowledge, challenges and research opportunities, Int. J. High Perform. Comput. Appl.23(3) (2009), pp. 212–226.
   Google Scholar
• The MPI Forum, The MPI message-passing interface standard, 1995. Available at: http://www.mcs.anl.gov/mpi/standard.html.
   Google Scholar
• C.Evangelinos and C.N.Hill, Cloud computing for parallel scientific HPC Applications: feasibility of running coupled Atmosphere-Ocean climate models on Amazon's EC2, in Cloud Computing and Its Applications 2008 (CCA-08), October 2008, Chicago, IL, ACM.
   Google Scholar
• I.P.Egwutuoha, S.Chen, D.Levy, and B.Selic, A fault tolerance framework for high performance computing in cloud, in Cluster, Cloud and Grid Computing (CCGrid), 2012 12th IEEE/ACM International Symposium, Ottawa, Canada, IEEE, 2012, pp. 709–710.
   Google Scholar
• A.Kumar, L.Shang, L.Peh, and N.Jha, System-level dynamic thermal management for high-performance microprocessors, IEEE Trans. Computer-Aided Design Integr. Circuits Syst.27(1) (2008), pp. 96–108.
   Web of Science ®Google Scholar
• J.Stearley and A.Oliner, What Supercomputers Say: A Study of Five System Logs, in DSN 07: Proceedings of the 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, Washington, DC, USA, 2007, pp. 575–584.
   Google Scholar
• Arun BabuNagarajan, FrankMueller, ChristianEngelmann, and Stephen L.Scot, Proactive Fault Tolerance for HPC with Xen Virtualization, in Proceedings of the 21st Annual International Conference on Supercomputing, Seattle, Washington, 2007, pp. 23–32.
   Google Scholar
• Lm-sensors. [Online]. Aavailable at. http://lm-sensors.org/wiki/Documentation.
   Google Scholar
• E.Deelman, G.Singh, M.Livny, B.Berriman, and J.Good, The Cost of Doing Science on the Cloud: The Montage Example, in SC 08: Proceedings of the 2008 ACM/IEEE Conference on Supercomputing, Piscataway, NJ, USA, 2008, pp. 1–12.
   Google Scholar
• M.Armbrust, A.Fox, R.Griffith, A.Joseph, R.Katz, A.Konwinski, G.Lee, D.Patterson, A.Rabkin, I.Stoica, and M.Zaharia, A view of cloud computing. Commun. ACM.53(4) (2010), pp. 50–58.
   Web of Science ®Google Scholar
• Open-iscsi, 2013. Available at: http://www.open-iscsi.org.
   Google Scholar
• Xen, Xen hypervisor. [Online]. Available at. http://www.xen.org/products/xenhyp.html.
   Google Scholar
• A. Petitet, R.C. Whaley, J. Dongarra, and A. Cleary, HPL. [Online]. Available at. http://www.netlib.org/benchmark/hpl/ (2008)
   Google Scholar
• E.N.M.Elnozahy, L.Alvisi, Y.M.Wang, and D.B.Johnson, A survey of rollback-recovery protocols in message-passing systems, ACM Comput. Surv. (CSUR)34(3) (2002), pp. 375–408
   Web of Science ®Google Scholar
• Checkpointing.org, [Online]. Available at. http://checkpointing.org/.
   Google Scholar
• I.P.Egwutuoha, D.Schragl, and R.Calvo, A Brief Review of Cloud Computing, Challenges and Potential Solutions, J. Parallel Cloud Comput.2(1) (2013)
   Google Scholar
• H.J.Berendsen, D.van der Spoel, and R.van Drunen, GROMACS: a message-passing parallel molecular dynamics implementation, Comput. Phys. Commun.91(1) (1995), pp. 43–56.
   Web of Science ®Google Scholar
• I.P.Egwutuoha, S.Chen, D.Levy, B.Selic, and R.Calvo, A Proactive Fault Tolerance Approach to High Performance Computing (HPC) in 2012 Second International Conference on the Cloud, in Cloud and Green Computing (CGC), Xiangtan, Hunan, China, IEEE, 2012, pp. 268–273.
   Google Scholar
• L.Youseff, M.Butrico, and D.D.Silva, Toward a unified ontology of cloud computing, in Proc. of the Grid Computing Environments Workshop (GCE08), Nov 2008, pp. 1–10.
   Google Scholar
• I.P.Egwutuoha, D.Levy, B.Selic, and S.Chen, A survey of fault tolerance mechanisms and checkpoint/restart implementations for high performance computing systems, J. Supercomput. (2013). https://doi.org/10.1007/s11227-013-0884-0.
   Web of Science ®Google Scholar
• J.T.Daly, A higher order estimate of the optimum checkpoint interval for restart dumps, Generation Comput. Syst.22 (2006), pp. 303–312.
   Web of Science ®Google Scholar
• C.Clark, K.Fraser, S.Hand et al. Live migration of virtual machines, in Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation-Volume 2, USENIX Association2005, pp. 273–286.
   Google Scholar
• K.Li, J.F.Naughton, and J.S.Plank, Low-latency, concurrent checkpointing for parallel programs, IEEE Transactions on Parallel and Distributed Systems5(8) (1994), pp. 874–879.
   Web of Science ®Google Scholar