Hierarchical Cross-Organizational Workflow Scheduling Algorithm in Cloud Environments
Using DAG(Directed Acyclic Diagram)to model the Cross-Organization Workflow has been widely applied in Cloud Computing Environments.But cost optimization problem within the time constraint still needs to be addressed.As some algorithms,such as MCP(Minimum Critical Path)and DBL(Deadline Bottom Level),do not consider the structure of the relevant level,this paper proposes an algorithm for the Structure Aware Hierarchical Cross-Organizational Workflow Scheduling(SAH).Through analyzing the structure of each level,the redundant time can be partitioned more reasonably.The experiments demonstrate that SAH has better performance than MCP and DBL.
Workflow scheduling Cloud environment Structure aware Cost/time tradeoff
Wen’an Tan Jia Peng Yong Sun Senbo Chen Anqiong Tang Shan Tang
School of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing School of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing School of Computer and Information,Shanghai Second Polytechnic University Shanghai,P.R.China 201209
国际会议
南昌
英文
1-12
2013-09-26(万方平台首次上网日期,不代表论文的发表时间)