A Workflow Knowledge Grid/P2P Architecture for Massively Parallel and Very Large Scale Workflows

This paper addresses the issue of workflow knowledge on Grid and P2P, and proposes a layered workflow architecture and its related workflow models that are used for not only distributing workflows' knowledge onto Grid/P2P resources but also scheduling the enactment of workflows deployed on Grid/P2P computing environment. Especially, the most critical rationale of this paper is on the fact that the nature of Grid computing environment is fitted very well into building a platform for the maximally parallel and very large scale workflows that are frequently found in very large scale enterprizes. The layered workflow knowledge architecture proposed in this paper, which we call Workflow Knowledge Grid/P2P Architecture, is targeting on maximizing the usability of computing facilities in the enterprize as well as the scalability of its underlined workflow management system in coping with massively parallel and very large scale workflow applications.