Peer-to-peer workflow model for clustering and scheduling resources on Grid/P2P

In the workflow technology literature, so far, very large scale workflow architectures, systems and applications have been looking for distributed computing infrastructures maximizing their performance and efficiency, but using minimal resources. Almost all conventional workflow systems are based upon the client-server and clustering computing environments. However, according to that Grid/P2P is hot-issued as a very feasible infrastructure for very-large scale information systems, we need to explore some reasonable approaches for applying the Grid/P2P as an infrastructure of very-large scale workflow systems. This paper ought to be one of those trials for seeking the-how that is fitted very well into the nature of the Grid/P2P. This paper proposes a scheme to generate a Grid/P2P configuration for implementing resource management and scheduling functionality, which gives best performance in enacting a workflow process. The scheme's essential idea is on the peer-to-peer workflow model that is automatically generated from the workflow process (represented by ICN) by an algorithm conceived in this paper. Eventually, the peer-to-peer workflow model becomes a Grid/P2P resource configuration for enacting the workflow process on runtime. In this paper, we describe about the peer-to-peer workflow model that provides a theoretical basis for peer-to-peer workflow distribution and enactment over Grid/P2P.