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 Sys- tem (GIS) shows infrastructural and technological limits. First of all, LDAP, the underling technology for information data manage- ment, 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.