A Parameter Dynamic-Tuning Scheduling Algorithm Based on History in Heterogeneous Environments
暂无分享,去创建一个
Xu Zhao | Xiaoshe Dong | Haijun Cao | Yuanquan Fan | Huo Zhu
[1] PikeRob,et al. Interpreting the data , 2005 .
[2] Rob Pike,et al. Interpreting the data: Parallel analysis with Sawzall , 2005, Sci. Program..
[3] Malgorzata Steinder,et al. Performance-driven task co-scheduling for MapReduce environments , 2010, 2010 IEEE Network Operations and Management Symposium - NOMS 2010.
[4] Yun Tian,et al. Improving MapReduce performance through data placement in heterogeneous Hadoop clusters , 2010, 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW).
[5] Lavanya Ramakrishnan,et al. Adapting MapReduce for HPC environments , 2011, HPDC '11.
[6] Leonid Oliker,et al. Scheduling in Heterogeneous Grid Environments: The Effects of DataMigration , 2004 .
[7] Randy H. Katz,et al. Improving MapReduce Performance in Heterogeneous Environments , 2008, OSDI.
[8] Magdalena Balazinska,et al. Estimating the progress of MapReduce pipelines , 2010, 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010).
[9] Chao Tian,et al. A Dynamic MapReduce Scheduler for Heterogeneous Workloads , 2009, 2009 Eighth International Conference on Grid and Cooperative Computing.
[10] Albert G. Greenberg,et al. Reining in the Outliers in Map-Reduce Clusters using Mantri , 2010, OSDI.
[11] Quan Chen,et al. HAT: history-based auto-tuning MapReduce in heterogeneous environments , 2013, The Journal of Supercomputing.
[12] Jun Huang,et al. A heterogeneity-aware approach to load balancing of computational tasks: a theoretical and simulation study , 2008, Cluster Computing.
[13] Scott Shenker,et al. Delay scheduling: a simple technique for achieving locality and fairness in cluster scheduling , 2010, EuroSys '10.
[14] Michael Georgiopoulos,et al. A Grid Based System for Data Mining Using MapReduce , 2007 .
[15] Qin Zheng. Dynamic adaptation of DAGs with uncertain execution times in heterogeneous computing systems , 2010, 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW).
[16] Salim Hariri,et al. Performance-Effective and Low-Complexity Task Scheduling for Heterogeneous Computing , 2002, IEEE Trans. Parallel Distributed Syst..
[17] Yuan Yu,et al. Dryad: distributed data-parallel programs from sequential building blocks , 2007, EuroSys '07.
[18] Sanjay Ghemawat,et al. MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.
[19] Magdalena Balazinska,et al. ParaTimer: a progress indicator for MapReduce DAGs , 2010, SIGMOD Conference.
[20] A. Friesen,et al. KAMD : A Progress Estimator for MapReduce Pipelines , 2009 .