Abstract
Service-oriented workflows in the scientific domain are commonly modelled from a data flow perspective as directed acyclic graphs (DAGs); Web services represent the vertices and directed edges are formed by connecting a group of services together. When orchestrating service-oriented workflows, intermediate data are typically routed through a single centralised engine, which results in unnecessary data transfer, increasing the execution time of a workflow and causing the engine to become a performance bottleneck. This paper introduces an architecture for decentralized orchestration of service-oriented DAG-based workflows. A workflow is divided into a set of vertices, disseminated to a group of proxies and executed without centralised control over a peer-to-peer proxy network. Through a Web services implementation, we demonstrate that by reducing intermediate data transfer and by sharing the workload between distributed proxies, end-to-end workflows are sped up.
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