Resource Planning Heuristics for Service-Oriented Workflows

• Main Authors: Eckert, Julian, Ertogrul, Deniz, Miede, André, Repp, Nicolas, Steinmetz, Ralf
• Format: Conference Proceeding
• Language: English
• Subjects: Applied computing > Enterprise computing > Business process management; Computational intelligence; Distributed Workflows; Enterprise resource planning; Information systems > Information retrieval; Information systems > Information storage systems; Information systems > World Wide Web > Web applications; Information systems > World Wide Web > Web services; Intelligent agent; Multimedia communication; Performance gain; Quality of service; Resource management; Resource Planning; Service oriented architecture; Service-oriented Computing; Social and professional topics > Professional topics > Management of computing and information systems > Project and people management; Technology planning; Web services
• DOI: 10.1109/WIIAT.2008.108

Resource allocation and resource planning, especially in a SOA and Grid environment, become crucial. Particularly, in an environment with a huge number of workflow consumers requesting a decentralized cross-organizational workflow, performance evaluation and execution-management of service-oriented workflows gain in importance. The need for an effective and efficient workflow management forces enterprises to use intelligent optimization models and heuristics to compose workflows out of several services under real-time conditions. This paper introduces the required architecture Workflow Performance Extension - WPX.KOM for resource planning and workload prediction purposes. Furthermore, optimization approaches and a high-performance heuristic solving the addressed resource planning problem with low computational overhead are presented.