A Multi Agent based Architecture for Data Provenance in Semantic Grid
Syed Imran Jami, Zaffar Ahmed Shaikh · 2008
Abstract—This work deals with the recording of provenance in semantic grid. Provenance is the process of recording and tracking the usage of data in a system. It is considered as one of the requirements of semantic grid. We use multi-agent based workflow management systems in grid environment as data architecture. Most of the provenance models are designed for specialized domains which make them vulnerable for semantic grids which propose to use the services for all in seamless manner. The proposed model can work on generic data sets and the use of mobile agents makes it robust in simultaneous recording of provenance by different nodes. We have proposed to use tree based structure for storing the provenance. The model uses Java based Aglets for mobile agents, dotNet based Alchemi for desktop grid and XML for common data format.