Abstract
Social grid agents are a socially inspired solution designed to address the problem of resource allocation in grid computing, they offer a viable solution to alleviating some of the problems associated with interoperability and utilization of diverse computational resources and to modeling the large variety of relationships among the different actors. The social grid agents provide an abstraction layer between resource providers and consumers. The social grid agent prototype is built in a metagrid environment, and its architecture is based on agnosticism both regarding technological solutions and economic precepts proves now useful in extending the environment of the agents from multiple grid middlewares, the metagrid, to multiple computational environments encompassing grids, clouds and volunteer-based computational systems. The presented architecture is based on two layers: (1) Production grid agents compose various grid services as in a supply chain, (2) Social grid agents that own and control the agents in the lower layer engage in social and economic exchange. The design of social grid agents focuses on how to handle the three flows (production, ownership, policies) of information in a consistent, flexible, and scalable manner. Also, a native functional language is used to describe the information that controls the behavior of the agents and the messages exchanged by them.
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Pierantoni, G., Coghlan, B., Kenny, E. (2011). Social Grid Agents. In: Preve, N. (eds) Grid Computing. Computer Communications and Networks. Springer, London. https://doi.org/10.1007/978-0-85729-676-4_6
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DOI: https://doi.org/10.1007/978-0-85729-676-4_6
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