Distributed Hierarchical Workstation Cluster Co-Ordination Scheme
PARELEC '00 Proceedings of the International Conference on Parallel Computing in Electrical Engineering
Apply agent to build grid service management
Journal of Network and Computer Applications
Competitive proportional resource allocation policy for computational grid
Future Generation Computer Systems - Special issue: Computational science of lattice Boltzmann modelling
The use of economic agents under price driven mechanism in grid resource management
Journal of Systems Architecture: the EUROMICRO Journal
GHS: A Performance System of Grid Computing
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 10 - Volume 11
Fault-tolerant grid resource management infrastructure
Neural, Parallel & Scientific Computations - Special issue: Grid computing
Efficient hierarchical self-scheduling for MPI applications executing in computational Grids
MGC '05 Proceedings of the 3rd international workshop on Middleware for grid computing
Software—Practice & Experience
GRACE-1: Cross-Layer Adaptation for Multimedia Quality and Battery Energy
IEEE Transactions on Mobile Computing
Multiagent and Grid Systems - Smart Grid Technologies & Market Models
Fair resource sharing in hierarchical virtual organizations for global grids
GRID '07 Proceedings of the 8th IEEE/ACM International Conference on Grid Computing
Hierarchical scheduling mechanism for grid systems
IMSA '07 Proceedings of the Eleventh IASTED International Conference on Internet and Multimedia Systems and Applications
An economy-driven mapping heuristic for hierarchical master-slave applications in grid systems
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Agent framework to support the computational grid
Journal of Systems and Software
Super-peer-based coordinated service provision
Journal of Network and Computer Applications
Future Generation Computer Systems
A flexible layered control policy for resource allocation in a sensor grid
Journal of Parallel and Distributed Computing
Journal of Network and Computer Applications
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
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The paper proposes a three-layer control policy for grid resource management, which applies a bottom-up approach to dynamic resource management. In order to hierarchically allocate resources in the system to maximize system utility, different controllers are deployed at three levels: local controller, group controller, and global controller. Global control considers all applications and coordinates three layers of grid architecture in response to large system changes at coarse time granularity. While local control adapts a single application to small changes at fine granularity. Global control exploits the interlayer coupling of fabric layer, collective layer and application layer to perform less frequent and effective control actions for a system-wide optimization. The interaction between grid layers is controlled through the use of the pricing variable, which coordinates the user demand at the application layer and supply of resources at the fabric layer. The paper proposes pricing-based three-layer control algorithms. This paper demonstrates the benefits of the control algorithm through simulations.