Distributed Execution of Workflow Using Parallel Partitioning
Grid computing is a fundamental technology for large scale distributed resource sharing. Workflow management is becoming one of the most important grid services. A lot of research work has been done on different issues involved in workflow management systems. The focus of this paper is on three areas: workflow partitioning, enactment and data movement. A new workflow management system called parallel and distributed workflow management system (PDWMS) is proposed. In this system the execution of workflow is done by a network of collaborative engines. To achieve this target, the original abstract workflow (input of the system) is partitioned into parallel parts, using a new proposed partitioning algorithm. PDWMSpsilas data movement, which is categorized into local and global models, uses a peer-to-peer approach.