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The dynamic and decentralized nature of Grids requires new approaches to make reliable and self-managing the service-oriented workflow management systems. Self-organization, like proposed by the autonomic computing concept, might be the key to design and develop systems/applications that can adapt themselves to meet requirements of performance, fault tolerance, reliability, security etc. without manual intervention. This paper describes Sunflower an innovative P2P agent-based framework for configuring, enacting, managing and adapting workflows on the Grid. The novel aspect of Sunflower is that key functions, include resource allocation, are decentralized and use a bio-inspired approach. This facilitates scalability and robustness of the overall system. Decentralized compositions is implemented by coordinating BPEL processes running on different organizational domains through a choreography model. A bio-inspired virtual shared space is concurrently accessed by workflow engines to discovery and select the appropriate services. Agents manage the workflow at runtime and adapt the workflow proactively to address the dynamism of the Grid execution environment and QoS requirements of the applications.
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