Adaptive parallel application resource remapping through the live migration of virtual machines

Future Generation Computer Systems - Tập 37 - Trang 148-161 - 2014
Muhammad Atif1, Peter Strazdins2
1National Computational Infrastructure, The Australian National University, Canberra, ACT, 0200, Australia
2Department of Computer Science, College of Engineering and Computer Science, The Australian National University, Canberra, ACT, 0200, Australia

Tài liệu tham khảo

Ibarra, 1977, Heuristic algorithms for scheduling independent tasks on nonidentical processors, J. ACM, 24, 280, 10.1145/322003.322011 Braun, 2001, A comparison of eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems, J. Parallel Distrib. Comput., 61, 810, 10.1006/jpdc.2000.1714 Dongarra, 2006, An overview of heterogeneous high performance and grid computing Dimitrios Katramatos, Steve.J. Chaplin, A cost/benefit estimating service for mapping parallel applications on heterogeneous clusters, in: IEEE International Conference on Cluster Computing, Cluster 2005, 2005. Nakazawa, 2005, The mheta execution model for heterogeneous clusters Muhammad Atif, Peter Strazdins, Optimizing live migration of virtual machines in SMP clusters for HPC applications, in: IFIP International Conference on Network and Parallel Computing Workshops, vol. 0, 2009, pp. 51–58. Youseff, 2006, Paravirtualization for HPC systems, 474, 10.1007/11942634_49 Hursey, 2009, Interconnect agnostic checkpoint/restart in open mpi, 49 Fernandez-Baca, 1989, Allocating modules to processors in a distributed system, IEEE Trans. Softw. Eng., 15, 1427, 10.1109/32.41334 Hsu, 2011, Cad: an efficient data management and migration scheme across clouds for data-intensive scientific applications, vol. 6864, 120 Kale, 2009, Charm++ and ampi: Adaptive runtime strategies via migratable objects Weissman, 1998, Scheduling parallel applications in distributed networks, Cluster Comput., 1, 109, 10.1023/A:1019073113216 Berman, 1996, Application-level scheduling on distributed heterogeneous networks Boeres, 2004, Easygrid: towards a framework for the automatic grid enabling of legacy mpi applications: research articles, Concurr. Comput.: Pract. Exper., 16, 425, 10.1002/cpe.821 Barak, 1998, The mosix multicomputer operating system for high performance cluster computing, Future Gener. Comput. Syst. Christopher Clark, Kier Fraser, Steven Hand, Jacob Grom Hansen, Live migration of virtual machines, in: Proceedings of 2nd ACM/USENIX Symposium on Network Systems, Design and Implementation, NSDI, 2005. Milojicic, 2000, Process migration, ACM Comput. Surv., 32, 241, 10.1145/367701.367728 Nagarajan, 2007, Proactive fault tolerance for HPC with XEN virtualization, 23 NAS Parallel Benchmarks, September 2010. http://www.nas.nasa.gov/Software/NPB. OpenMPI, June 2008. http://www.open-mpi.org/. Mu’alem, 2001, Utilization, predictability, workloads, and user runtime estimates in scheduling the IBM SP2 with backfilling, IEEE Trans. Parallel Distrib. Syst., 12, 529, 10.1109/71.932708 Atif, 2011 Aravind Menon, Jose Renato Santos, Turner Yoshio, Diagnosing performance overheads in the xen virtual machine environment, in: Proceedings of the 1st ACM/USENIX International Conference on Virtual Execution Environments, VEE’05, 2005, pp. 13–23. University of Tennesse Innovative Computing Laboratory, High performance linpack benchmark, 3, 2009. http://www.netlib.org/benchmark/hpl/. Atif, 2009, An evaluation of multiple communication interfaces in virtualized SMP clusters, 9 Lublin, 2003, The workload on parallel supercomputers: Modeling the characteristics of rigid jobs, J. Parallel Distrib. Comput., 1105, 10.1016/S0743-7315(03)00108-4 A.B. Downey, A parallel workload model and its implications for processor allocation, August 1997, pp. 112–123. Tsafrir, 2005, Modeling user runtime estimates, vol. 3834, 1