A scalable and performant grid monitoring and information framework

Distributed resource property repositories and state monitoring systems are critical components of any Grid Management Architecture, providing Grid scheduler, job/execution manager and state estimation components with accurate information about network, computational and storage resource properties and status. Without an up-to-date information and monitoring service, intelligent scheduling decision making would be a near-impossible task. In this paper we describe a scalable, portable and non-intrusive Grid Information and Monitoring framework. We compare it to well-known Grid information & monitoring systems, and measure its performance to the Globus 2.2 Monitoring and Discovery Service (MDS) and the Globus 3.2 web services Information Service (WS-IS) performance