A Two-Step Data Placement and Task Scheduling Strategy for Optimizing Scientific Workflow Performance on Cloud Computing Platform: A Two-Step Data Placement and Task Scheduling Strategy for Optimizing Scientific Workflow Performance on Cloud Computing Platform
暂无分享,去创建一个
Kaijun Ren | Shaowei Liu | Kefeng Deng | Junqiang Song | Hongze Leng | Ling-Mei Kong | Shaowei Liu | Junqiang Song | Kaijun Ren | Kefeng Deng | H. Leng | Lingmei Kong
[1] Yinong Chen,et al. Optimized QoS-aware replica placement heuristics and applications in astronomy data grid , 2011, J. Syst. Softw..
[2] Odej Kao,et al. Exploiting Dynamic Resource Allocation for Efficient Parallel Data Processing in the Cloud , 2011, IEEE Transactions on Parallel and Distributed Systems.
[3] Robert L. Grossman,et al. Ieee Transactions on Parallel and Distributed Systems, Manuscript Id towards Efficient and Simplified Distributed Data Intensive Computing* , 2022 .
[4] Xiao Liu,et al. A data placement strategy in scientific cloud workflows , 2010, Future Gener. Comput. Syst..
[5] Aaron Weiss,et al. Can the PC go green? , 2007, NTWK.
[6] Robert L. Grossman,et al. UDT: UDP-based data transfer for high-speed wide area networks , 2007, Comput. Networks.
[7] Jing Hua,et al. A Reference Architecture for Scientific Workflow Management Systems and the VIEW SOA Solution , 2009, IEEE Transactions on Services Computing.