Pricing in computer networks: motivation, formulation, and example
IEEE/ACM Transactions on Networking (TON)
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Multiagent systems and societies of agents
Multiagent systems
Distributed rational decision making
Multiagent systems
Data Management in an International Data Grid Project
GRID '00 Proceedings of the First IEEE/ACM International Workshop on Grid Computing
An Economic Paradigm for Query Processing and Data Migration in Mariposa
PDIS '94 Proceedings of the Third International Conference on Parallel and Distributed Information Systems
Market-based Proportional Resource Sharing for Clusters
Market-based Proportional Resource Sharing for Clusters
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Optimization of Grid Resource Allocation Combining Fuzzy Theory with Generalized Assignment Problem
GCC '07 Proceedings of the Sixth International Conference on Grid and Cooperative Computing
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
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Computational Grids are a promising platform for executing large-scale resource intensive applications. This paper identifies challenges in managing resources in a Grid computing environment and proposes computational economy as a metaphor for effective management of resources and application scheduling. It identifies distributed resource management challenges and requirements of economy-based Grid systems, and proposes an economy based negotiation system protocol for cooperative and competitive trading of resources. Dynamic pricing for services and good level of Pareto optimality make auctions more attractive for resource allocation over other economic models. In a complex Grid environment, the communication demand can become a bottleneck; that is, a number of messages need to be exchanged for matching suitable service providers and consumers. The Fuzzy Trust integrated hybrid Capital Asset Pricing Model CAPM shows the higher user centric satisfaction and provides the equilibrium relationship between the expected return and risk on investments. This paper also presents an analysis on the communication requirements and the necessity of the CAPMAuction in Grid environment.