Resource-aware applications pro-actively monitor and dynamically adapt their behavior to accommodate to changing resource consumption constraints. Strategies such as internal load-balancing and job resubmission can correct sub-optimal scheduling decisions and thus enhance performance. As utilizing the potential of resource awareness requires close interaction with resource management subsystems, implementations ofen rely on low-level, platformspecflc features, which impairs portability. What is needed is uncompromised portability of all aspects of resource management in grid systems.

We demonstrate that the Java platform, equipped with the APIs for distributed resource management, can be used for building a portable grid infrastructure. In particular, we describe the design and implementation of a cluster management system capable of controlled execution of parallel, resourceaware, Java applications, We empirically show that our solution allows for efzcient, fine-grained resource management, suflcient for tapping the performance benefits promised by the resource-conscious applications.