Market-based control: a paradigm for distributed resource allocation
Market-based control: a paradigm for distributed resource allocation
Market-oriented programming: some early lessons
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Agent technology: foundations, applications, and markets
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A cost-benefit framework for online management of a metacomputing system
Proceedings of the first international conference on Information and computation economies
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
A taxonomy and survey of grid resource management systems for distributed computing
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Condor-G: A Computation Management Agent for Multi-Institutional Grids
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An agent-oriented and service-oriented environment for deploying dynamic distributed systems
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Combine concept of agent and service to build distributed object-oriented system
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Coordinating mobile agents by the XML-based tuple space
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A Case for Economy Grid Architecture for Service Oriented Grid Computing
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Integrate software agents and CORBA in computational grid
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Utility Driven Mobile-Agent Scheduling
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Utility-driven solution for optimal resource allocation in computational grid
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Utility-based scheduling for grid computing under constraints of energy budget and deadline
Computer Standards & Interfaces
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Hierarchical control policy for dynamic resource management in grid virtual organization
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Future Generation Computer Systems
Using economic regulation to prevent resource congestion in large-scale shared infrastructures
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A multi-QoS guaranteed dynamic grid resource scheduling algorithm
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Joint contexts optimization for mobile grid
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Future Generation Computer Systems
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Future Generation Computer Systems
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Future Generation Computer Systems
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Future Generation Computer Systems
A Pricing Approach For Grid Resource Scheduling With QoS Guarantees
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A new fuzzy negotiation protocol for grid resource allocation
Journal of Network and Computer Applications
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This paper presents a competitive proportional resource allocation in computational grid. A system model is described that allows agents representing various grid resources, which owned by different real world enterprises, to coordinate their resource allocation decisions without assuming a priori cooperation. The grid task agents buy resources to complete tasks. Grid resource agents charge the task agents for the amount of resource capacity allocated. Two types of optimization problems related to grid task agent are proposed. Given grid resource agent's pricing policy, the task agent optimization problem is to complete its job as quickly as possible when spending the least possible amount of money. Given specified amount of time to complete jobs, the task agent optimization problem is to minimize the cost accrued. This paper provides a price-directed proportional resource allocation algorithm for solving the grid task agent resource allocation problem. Experiments are made to compare the performance of the price-directed resource allocation with conventional Round-Robin allocation. The results of experiment show the price-directed allocation has better performance than usual Round-Robin allocation.