Research on Semantic Grid Resource Query
This work is supported in part by a grant from the National Basic Research Program of China(2007CB307104).
A dynamic gird computing environment is characterized by entity autonomy, and distribution. Within this paper, we describe a grid resource management model KRMM, Knowledge-based Resource Management Model, which manage the resource in a decentralized way while query and match resource based on global grid knowledge. With supporting of RDF and RDQL, KRMM can easily support grid resource set-matching and gang-matching. Further more, by extending ontology and inference rule, KRMM can support network centric resource correlated query by derived knowledge reasoning. This model is flexible and extensible, and is suitable for large scale grid resources matchmaking.
