Research Output
Resource Management and Service Deployment in Grids
  Semantic grid refers to an approach to grid computing in which information, computing resources, and services are described in standard ways that can be processed by computer. This makes it easier for resources to be discovered and joined up automatically, which helps bring resources together to create virtual organizations. By analogy with the Semantic Web, the Semantic grid can be defined as an extension of the current grid in which information and services are given well-defined meaning, better enabling computers and people to work in cooperation. Because semantic grids represent and reason about knowledge declaratively, additional capabilities typical of agents are then possible including learning, planning, self-repair, memory organization, meta-reasoning, and task-level coordination. These capabilities would turn semantic grids into cognitive grids. Only a convergence of these technologies will provide the ingredients to create the fabric for a new generation of distributed intelligent systems. Inspired from the concept of Autonomous Decentralized Systems, we propose that the above-mentioned goals can be achieved by integrating FIPA multi-agent systems with the grid service architecture and hence to lay the foundation for semantic grid. Semantic grid system architecture is aimed to provide an improved infrastructure by bringing autonomy, semantic interoperability, and decentralization in the grid computing for emerging applications.

Citation

Chrysoulas, C., & Sklavos, N. (2011). Resource Management and Service Deployment in Grids. In N. P. Preve (Ed.), Grid Computing: Towards a Global Interconnected Infrastructure (123-143). London: Springer. https://doi.org/10.1007/978-0-85729-676-4_5

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