Data management and transfer in high-performance computational grid environments
Parallel Computing - Parallel data-intensive algorithms and applications
Grids, the TeraGrid, and Beyond
Computer
A Resource Management Architecture for Metacomputing Systems
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
A Directory Service for Configuring High-Performance Distributed Computations
HPDC '97 Proceedings of the 6th IEEE International Symposium on High Performance Distributed Computing
Grid Computing: Making the Global Infrastructure a Reality
Grid Computing: Making the Global Infrastructure a Reality
Grid Information Services for Distributed Resource Sharing
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
A framework for adaptive execution in grids
Software—Practice & Experience
Job Superscheduler Architecture and Performance in Computational Grid Environments
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
Distributed computing in practice: the Condor experience: Research Articles
Concurrency and Computation: Practice & Experience - Grid Performance
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
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We describe a system for aggregating heterogeneous resources from distinct administrative domains into an enterprise-wide compute grid, such that the aggregated resource provides the services of reliable and flexible queuing, scheduling, execution, and monitoring of batch applications. The system provides scheduling across multiple cluster Grids, user account mapping across domains, and file staging, thereby enabling the consolidation of organization-wide distributed resources into a virtual resource, while preserving local control of resources. The concept of abstract queue, as the unit of aggregating heterogeneous resources, is introduced and instantiated for distributed resource scheduling. The proposed system is an open source, standards-based alternative to similar commercial systems.