GLUEMan: a WBEM-based Framework for Information Providers in Grid Services

Abstract

In Grid systems, heterogenous resources from different administrative domains are exposed via common abstraction layers and can be shared across virtual organizations. An important aspect of these systems is discoverability based on common resource description. The open grid forum (OGF) is defining GLUE, a conceptual model and reference realizations to concrete data models for describing advertisable capabilities of Grid services and resources. The adoption of this new specification implies that several middleware components must be instrumented to measure and expose the defined properties with attention to specification conformance, data quality and support for multiple data formats. Current Grid middlewares already address this problem by relying on frameworks to support and simplify this task, nevertheless the proposed solutions are tight-coupled to specific data models or format with limited support for data quality enforcement, furthermore they do not leverage a number of standards and technologies for the management of networked resources. This paper presents GLUEMan, a framework based on WBEM-based technologies which supports the integration of heterogenous information providers for the GLUE information model and adds functionalities such data quality enforcement and client-side translation to different concrete data models. The goal of GLUEMan is to simplify the adoption of the GLUE information model by leveraging standard-based management technologies.