Scheduling Periodic Jobs that Allow Imprecise Results
IEEE Transactions on Computers
Algorithms for Scheduling Imprecise Computations
Computer - Special issue on real-time systems
Optimal Reward-Based Scheduling for Periodic Real-Time Tasks
IEEE Transactions on Computers
IEEE Transactions on Computers
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Future Generation Computer Systems - Grid computing: Towards a new computing infrastructure
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CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
Libra: a computational economy-based job scheduling system for clusters
Software—Practice & Experience
Balancing Risk and Reward in a Market-Based Task Service
HPDC '04 Proceedings of the 13th IEEE International Symposium on High Performance Distributed Computing
A Scalable Grid-based Multimedia Server
WETICE '04 Proceedings of the 13th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
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SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
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CLUSTER '04 Proceedings of the 2004 IEEE International Conference on Cluster Computing
Specification and Management of QoS in Real-Time Databases Supporting Imprecise Computations
IEEE Transactions on Computers
A survey of bargaining models for grid resource allocation
ACM SIGecom Exchanges
Imprecise Computation Grid Application Model for Flexible Market-Based Resource Allocation
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
A taxonomy of market-based resource management systems for utility-driven cluster computing
Software—Practice & Experience
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Journal of VLSI Signal Processing Systems
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Monte Carlo grid for financial risk management
Future Generation Computer Systems - Special issue: Parallel computing technologies
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Utility-based resource management is becoming an emerging issue as the utilisation of cluster resources in Grid computing is growing rapidly. In this paper, we provide a new Imprecise Computation IC application model for flexible reward-based Grid resource management. An application in the proposed model consists of multiple independent jobs, in which each job has two parts: mandatory part for the minimum quality and optional part for additional computations. This application model can be applied to QoS-related Grid applications and used in adaptive resource management. We also provide scheduling algorithms for resource allocation of the IC applications based on reward. The profitable optional execution time is analysed for both space-shared and time-shared scheduling policies. Simulation results show that the proposed schemes are beneficial to both users and resource providers in terms of application acceptance rate and total reward.