A Description Logic based Grid Inferential Monitoring and Discovery Framework

In this paper we propose a new architecture for an inferential monitoring and discovery system for Grid. The system supports reasoning activities on a knowledge base formalising the relevant concepts and relevant relationships to a grid computing environment. The current applied Grid Information Index System (GIS) shows infrastructural and technological limits. First of all, LDAP, the underling technology for information data management, has not been conceived to deal with dynamic information and its data model is not expressive enough to describe a complex information system like the one needed to properly manage Grid. Moreover GIS, does not manage effectively resources and events information. The re-actions to events are left to human responsibilities, so Grid cannot adapt its behaviour by itself, as wished in a dynamic changing environment. The goal of this work is to define an inferential GIS that adds autonomous capabilities to the Grid middleware. This is achieved by defining a Grid Ontology and an agent building a KB on that Ontology. Furthermore we add Inferential capabilities to the GIS for prediction, deduction and query activities.