Cooperative and decentralized workflow scheduling in global grids
Future Generation Computer Systems
A self-organization mechanism based on cross-entropy method for P2P-like applications
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
SDE-Driven service provision control
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
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In recent years, inspired by the emerging web services standard and peer-to-peer technology, a new federated service providing (FSP) system paradigm has attracted increasing research interests. Many existing systems have either explicitly or implicitly followed this paradigm. Instead of exchanging files, peers in FSP systems share their computation resources in order to offer domain-specific services. In this paper, we focused on a coordination problem as how to self-organize the service group structures in response to the varying service demand. We presented our solution in the form of a coordination mechanism, which includes a labor-market model, a recruiting protocol, and a policy-driven decision architecture. Peers make their service providing decisions based on their local policies, which can be added, removed, or modified by users. A general methodology is introduced in this paper to facilitate policy design. Specifically, a heuristic inspired by the Extremal Optimization technique is utilized to handle potential inconsistencies among policies. A stimulus-response mechanism was further applied to make the decision process adjustable. Experiments under five application scenarios verified our ideas and demonstrated the effectiveness of our coordination mechanism.