GRID '02 Proceedings of the Third International Workshop on Grid Computing
Economic Scheduling in Grid Computing
JSSPP '02 Revised Papers from the 8th International Workshop on Job Scheduling Strategies for Parallel Processing
On Quality of Service Optimization with Discrete QoS Options
RTAS '99 Proceedings of the Fifth IEEE Real-Time Technology and Applications Symposium
A Scalable Solution to the Multi-Resource QoS Problem
RTSS '99 Proceedings of the 20th IEEE Real-Time Systems Symposium
Scalable Resource Allocation for Multi-Processor QoS Optimization
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
A Case for Economy Grid Architecture for Service Oriented Grid Computing
IPDPS '01 Proceedings of the 10th Heterogeneous Computing Workshop â"" HCW 2001 (Workshop 1) - Volume 2
QoS guided min-min heuristic for grid task scheduling
Journal of Computer Science and Technology - Grid computing
Competitive proportional resource allocation policy for computational grid
Future Generation Computer Systems - Special issue: Computational science of lattice Boltzmann modelling
Integrated Resource Management and Scheduling with Multi-Resource Constraints
RTSS '04 Proceedings of the 25th IEEE International Real-Time Systems Symposium
Analyzing Market-Based Resource Allocation Strategies for the Computational Grid
International Journal of High Performance Computing Applications
Utility-based QoS optimisation strategy for multi-criteria scheduling on the grid
Journal of Parallel and Distributed Computing
Joint QoS optimization for layered computational grid
Information Sciences: an International Journal
End-to-end quality of service for high-end applications
Computer Communications
Agent framework to support the computational grid
Journal of Systems and Software
Performance evaluation of fault tolerance techniques in grid computing system
Computers and Electrical Engineering
| Hi-index | 0.00 |
In grid computing, grid users who submit applications and resources providers who provide resources have different motivations when they join the grid. Application-centric scheduling aims to optimize the performance of individual application. Resource-centric scheduling aims to optimize the resource utilization of resources provider. Due to autonomy both in grid users and resource providers, the objectives of application-centric and resource-centric scheduling often conflict. The paper proposes a system-centric scheduling that provides a solution of joint optimization of the objectives for both the grid resource and grid application. Utility functions are used to express the objectives of grid resource and application. The system-centric scheduling policy can be formulated as joint optimization of utilities of grid applications and grid resources, which combine both application centric and resource-centric scheduling benefits. Simulations are conducted to study the performance of the system-centric scheduling algorithm. The experiment results show that the system-centric scheduling algorithm yields significantly better performance than application-centric scheduling algorithm and resource-centric scheduling algorithm.