Utopia: a load sharing facility for large, heterogeneous distributed computer systems
Software—Practice & Experience
The interaction of parallel and sequential workloads on a network of workstations
Proceedings of the 1995 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Mechanisms and policies for supporting fine-grained cycle stealing
ICS '99 Proceedings of the 13th international conference on Supercomputing
Teamster: A Transparent Distributed Shared Memory for Cluster Symmetric Multiprocessors
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
Making a DSM Consistency Protocol Hierarchy-Aware: an Efficient Synchronization Scheme
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
The Globus Project: A Status Report
HCW '98 Proceedings of the Seventh Heterogeneous Computing Workshop
Condor-G: A Computation Management Agent for Multi-Institutional Grids
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
MPICH-G2: a Grid-enabled implementation of the Message Passing Interface
Journal of Parallel and Distributed Computing - Special issue on computational grids
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
A framework for adaptive execution in grids
Software—Practice & Experience
Self adaptivity in Grid computing: 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
The Cactus Worm: Experiments with Dynamic Resource Discovery and Allocation in a Grid Environment
International Journal of High Performance Computing Applications
Enabling Software DSM System for Grid Computing
ISPAN '05 Proceedings of the 8th International Symposium on Parallel Architectures,Algorithms and Networks
LOTS: a software DSM supporting large object space
CLUSTER '04 Proceedings of the 2004 IEEE International Conference on Cluster Computing
A Transparent Distributed Shared Memory for Clustered Symmetric Multiprocessors
The Journal of Supercomputing
Teamster-G: a grid-enabled software DSM system
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
An architecture for reconfigurable iterative MPI applications in dynamic environments
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
A progressive multi-layer resource reconfiguration framework for time-shared grid systems
Future Generation Computer Systems
Memory-Mapped File Approach for On-Demand Data Co-allocation on Grids
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
A DSM-based fragmented data sharing framework for grids
Future Generation Computer Systems
Adaptive execution of jobs in computational grid environment
Journal of Computer Science and Technology - Special section on trust and reputation management in future computing systmes and applications
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Grid is a non-dedicated and dynamic computing environment. Consequently, different programs have to compete with each other for the same resources, and resource availability varies over time. That causes the performance of user programs to degrade and to become unpredictable. For resolving this problem, we propose a multi-layer resource reconfiguration framework for grid computing. As named, this framework adopts different resource reconfiguration mechanisms for different workloads of resources. We have implemented this framework on a grid-enabled DSM system called Teamster-G. Our experimental result shows that our proposed framework allows Teamster-G not only to fully utilize abundant CPU cycles but also to minimize resource contention between the jobs of resource consumers and those of resource providers. As a result, the job throughput of Teamster-G is effectively increased.