Scheduling of online compute-intensive synchronized jobs on high performance virtual clusters
暂无分享,去创建一个
[1] Michael T. Heath. A tale of two laws , 2015, Int. J. High Perform. Comput. Appl..
[2] Peter A. Dinda,et al. Virtual-machine-based emulation of future generation high-performance computing systems , 2012, Int. J. High Perform. Comput. Appl..
[3] Gilad Kutiel,et al. Cost-aware live migration of services in the cloud , 2010, SYSTOR '10.
[4] Amnon Barak,et al. Opportunity Cost Algorithms for Reduction of I/O and Interprocess Communication Overhead in a Computing Cluster , 2003, IEEE Trans. Parallel Distributed Syst..
[5] Thomas L. Sterling. The Biggest Need: a New Model of Computation , 2009, Int. J. High Perform. Comput. Appl..
[6] Uwe Schwiegelshohn,et al. A system-centric metric for the evaluation of online job schedules , 2011, J. Sched..
[7] Henri Casanova,et al. Versatile, scalable, and accurate simulation of distributed applications and platforms , 2014, J. Parallel Distributed Comput..
[8] Adam Wierman,et al. Hopper: Decentralized Speculation-aware Cluster Scheduling at Scale , 2015, SIGCOMM.
[9] Peter A. Dinda,et al. Minimal-overhead virtualization of a large scale supercomputer , 2011, VEE '11.
[10] David S. Rosenblum,et al. A framework for characterization and analysis of software system scalability , 2007, ESEC-FSE '07.
[11] Baruch Awerbuch,et al. An Opportunity Cost Approach for Job Assignment in a Scalable Computing Cluster , 2000, IEEE Trans. Parallel Distributed Syst..
[12] Jemal H. Abawajy,et al. An efficient adaptive scheduling policy for high-performance computing , 2009, Future Gener. Comput. Syst..
[13] Kevin Pedretti,et al. Opportunities for leveraging OS virtualization in high-end supercomputing. , 2010 .
[14] Anja Strunk. Costs of Virtual Machine Live Migration: A Survey , 2012, 2012 IEEE Eighth World Congress on Services.
[15] Azzedine Boukerche,et al. A scheduling and load balancing scheme for dynamic P2P-based system , 2010 .
[16] Brian Whitworth,et al. The web of system performance , 2006, CACM.
[17] Baruch Awerbuch,et al. An Opportunity Cost Approach for Job Assignment and Reassignment in a Scalable Computing Cluster , 2002 .
[18] Thomas L. Sterling. Models of Computation — Enabling Exascale , 2009, Int. J. High Perform. Comput. Appl..
[19] Kevin T. Pedretti,et al. Achieving Performance Isolation with Lightweight Co-Kernels , 2015, HPDC.
[20] Joshua E. Simons,et al. Virtualizing high performance computing , 2010, OPSR.
[21] William Gropp,et al. Beowulf Cluster Computing with Linux , 2003 .
[22] David Kang,et al. A systematic approach in managing post-deployment system changes , 2006, Commun. ACM.
[23] Thomas L. Sterling,et al. ParalleX An Advanced Parallel Execution Model for Scaling-Impaired Applications , 2009, 2009 International Conference on Parallel Processing Workshops.
[24] Lior Amar,et al. Combining Virtual Machine migration with process migration for HPC on multi-clusters and Grids , 2008, 2008 IEEE International Conference on Cluster Computing.
[25] Calvin J. Ribbens,et al. Hybrid Computing - Where HPC meets grid and Cloud Computing , 2011, Future Gener. Comput. Syst..
[26] Marta Beltrán,et al. How to Balance the Load on Heterogeneous Clusters , 2009, Int. J. High Perform. Comput. Appl..
[27] Yossi Azar,et al. Competitive routing of virtual circuits with unknown duration , 1994, SODA '94.
[28] John Shalf,et al. Exascale Operating Systems and Runtime Software Report , 2012 .
[29] Michael Lang,et al. System-Level Support for Composition of Applications , 2015, ROSS@HPDC.
[30] Marlon E. Pierce,et al. SWARM: Scheduling Large-Scale Jobs over the Loosely-Coupled HPC Clusters , 2008, 2008 IEEE Fourth International Conference on eScience.
[31] James R. Larus,et al. Join-Idle-Queue: A novel load balancing algorithm for dynamically scalable web services , 2011, Perform. Evaluation.
[32] Michael Abd-El-Malek,et al. Omega: flexible, scalable schedulers for large compute clusters , 2013, EuroSys '13.
[33] Fernando Cores,et al. Cooperative scheduling mechanism for large-scale peer-to-peer computing systems , 2013, J. Netw. Comput. Appl..
[34] John Shalf,et al. The International Exascale Software Project roadmap , 2011, Int. J. High Perform. Comput. Appl..
[35] Patrick G. Bridges,et al. Quantifying Scheduling Challenges for Exascale System Software , 2015, ROSS@HPDC.
[36] David S. Rosenblum,et al. Systematic Elaboration of Scalability Requirements through Goal-Obstacle Analysis , 2013, IEEE Transactions on Software Engineering.
[37] Peter A. Dinda,et al. Palacios and Kitten: New high performance operating systems for scalable virtualized and native supercomputing , 2010, 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS).
[38] Dejan S. Milojicic,et al. Evaluating and Improving the Performance and Scheduling of HPC Applications in Cloud , 2016, IEEE Transactions on Cloud Computing.
[39] Qiang Huang,et al. Power Consumption of Virtual Machine Live Migration in Clouds , 2011, 2011 Third International Conference on Communications and Mobile Computing.
[40] David E. Bernholdt,et al. Hobbes: composition and virtualization as the foundations of an extreme-scale OS/R , 2013, ROSS '13.
[41] Xiaobing Feng,et al. An empirical model for predicting cross-core performance interference on multicore processors , 2013, Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques.
[42] Peter A. Dinda,et al. Fast VMM-based overlay networking for bridging the cloud and high performance computing , 2014, Cluster Computing.
[43] Brian Kocoloski,et al. Improving compute node performance using virtualization , 2013, Int. J. High Perform. Comput. Appl..
[44] Rolf Stadler,et al. A Gossip Protocol for Dynamic Resource Management in Large Cloud Environments , 2012, IEEE Transactions on Network and Service Management.
[45] Amos Fiat,et al. On-line routing of virtual circuits with applications to load balancing and machine scheduling , 1997, JACM.
[46] Allan Borodin,et al. Online computation and competitive analysis , 1998 .
[47] Takahiro Hirofuchi,et al. SimGrid VM: Virtual Machine Support for a Simulation Framework of Distributed Systems , 2018, IEEE Transactions on Cloud Computing.
[48] Carlo Curino,et al. Mercury: Hybrid Centralized and Distributed Scheduling in Large Shared Clusters , 2015, USENIX Annual Technical Conference.
[49] Pete Beckman,et al. Argo: An Exascale Operating System and Runtime , 2015 .