CloudWF: A Computational Workflow System for Clouds Based on Hadoop
CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
Super-peer-based coordinated service provision
Journal of Network and Computer Applications
P2PScheMe: a P2P scheduling mechanism for workflows in grid computing
Concurrency and Computation: Practice & Experience
Improving cooperativity in a workflow coordination model over a pub/sub network
UCAmI'12 Proceedings of the 6th international conference on Ubiquitous Computing and Ambient Intelligence
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In the current approaches to workflow scheduling,there is no cooperation between the distributed workflow brokers and as a result, the problem of conflicting schedules occur. To overcome this problem, in this paper, we propose a decentralized and cooperative workflow scheduling algorithm. The proposed approach utilizes a Peer-to-Peer (P2P) coordination space with respect to coordinating the application schedules among the Grid wide distributed workflow brokers. The proposed algorithm is completely decentralized in the sense that there is no central point of contact in the system, the responsibility of the key functionalities such as resource discovery and scheduling coordination are delegated to the P2P coordination space. With the implementation of our approach, not only the performance bottlenecks are likely to be eliminated but also efficient scheduling with enhanced scalability and better autonomy for the users are likely to be achieved. We prove the feasibility of our approach through an extensive trace driven simulation study.