A throughput maximization strategy for scheduling transaction‐intensive workflows on SwinDeW‐G
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Hai Jin | Jinjun Chen | Yun Yang | Ke Liu | Hai Jin | Yun Yang | Jinjun Chen | Ke Liu
[1] Jinjun Chen,et al. Adaptive selection of necessary and sufficient checkpoints for dynamic verification of temporal constraints in grid workflow systems , 2007, TAAS.
[2] Mauricio G. C. Resende,et al. Greedy Randomized Adaptive Search Procedures , 1995, J. Glob. Optim..
[3] Dharma P. Agrawal,et al. Improving scheduling of tasks in a heterogeneous environment , 2004, IEEE Transactions on Parallel and Distributed Systems.
[4] Ming Wu,et al. Grid Harvest Service: a system for long-term, application-level task scheduling , 2003, Proceedings International Parallel and Distributed Processing Symposium.
[5] Rajkumar Buyya,et al. Workflow scheduling algorithms for grid computing , 2008 .
[6] Hai Jin,et al. An Adaptive Meta-scheduler for Data-Intensive Applications , 2003, GCC.
[7] Rajkumar Buyya,et al. A novel architecture for realizing grid workflow using tuple spaces , 2004, Fifth IEEE/ACM International Workshop on Grid Computing.
[8] A. Doğan,et al. Genetic Algorithm Based Scheduling of Meta-Tasks with Stochastic Execution Times in Heterogeneous Computing Systems , 2004 .
[9] Ladislau Bölöni,et al. A Comparison of Eleven Static Heuristics for Mapping a Class of Independent Tasks onto Heterogeneous Distributed Computing Systems , 2001, J. Parallel Distributed Comput..
[10] Lingyun Yang,et al. Conservative Scheduling: Using Predicted Variance to Improve Scheduling Decisions in Dynamic Environments , 2003, ACM/IEEE SC 2003 Conference (SC'03).
[11] Daniel A. Menascé,et al. A framework for resource allocation in grid computing , 2004, The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, 2004. (MASCOTS 2004). Proceedings..
[12] Rajkumar Buyya,et al. Cost-based scheduling of scientific workflow applications on utility grids , 2005, First International Conference on e-Science and Grid Computing (e-Science'05).
[13] Rizos Sakellariou,et al. A hybrid heuristic for DAG scheduling on heterogeneous systems , 2004, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings..
[14] Selim G. Akl,et al. Scheduling Algorithms for Grid Computing: State of the Art and Open Problems , 2006 .
[15] Miron Livny,et al. Condor: a distributed job scheduler , 2001 .
[16] Edward A. Lee,et al. Scientific workflow management and the Kepler system , 2006, Concurr. Comput. Pract. Exp..
[17] Radu Prodan,et al. ASKALON: a tool set for cluster and Grid computing , 2005, Concurr. Pract. Exp..
[18] Marios D. Dikaiakos,et al. Scheduling Workflows with Budget Constraints , 2007, Grid 2007.
[19] Geoffrey C. Fox,et al. Workflow in Grid Systems , 2004 .
[20] Salim Hariri,et al. Performance-Effective and Low-Complexity Task Scheduling for Heterogeneous Computing , 2002, IEEE Trans. Parallel Distributed Syst..
[21] Stephen A. Jarvis,et al. Mapping DAG-based applications to multiclusters with background workload , 2005, CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid, 2005..
[22] Hai Jin,et al. Peer-to-Peer Based Grid Workflow Runtime Environment of SwinDeW-G , 2007, Third IEEE International Conference on e-Science and Grid Computing (e-Science 2007).