Emergent algorithms for replica location and selection in data grid
Grid infrastructures for e-Science projects are growing in magnitude terms. Improvements in data Grid replication algorithms may be critical in many of these infrastructures. This paper shows a decentralized replica optimization service, providing a general Emergent Artificial Intelligence (EAI) alg...
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| Published in: | Future generation computer systems Vol. 26; no. 7; pp. 934 - 946 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier B.V
01-07-2010
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| Abstract | Grid infrastructures for e-Science projects are growing in magnitude terms. Improvements in data Grid replication algorithms may be critical in many of these infrastructures. This paper shows a decentralized replica optimization service, providing a general Emergent Artificial Intelligence (EAI) algorithm for the problem definition. Our aim is to set up a theoretical framework for emergent heuristics in Grid environments. Further, we describe two EAI approaches, the Particle Swarm Optimization
PSO-Grid Multiswarm Federation and the Ant Colony Optimization
ACO-Grid Asynchronous Colonies Optimization replica optimization algorithms, with some examples. We also present extended results with best performance and scalability features for
PSO-Grid Multiswarm Federation. |
|---|---|
| AbstractList | Grid infrastructures for e-Science projects are growing in magnitude terms. Improvements in data Grid replication algorithms may be critical in many of these infrastructures. This paper shows a decentralized replica optimization service, providing a general Emergent Artificial Intelligence (EAI) algorithm for the problem definition. Our aim is to set up a theoretical framework for emergent heuristics in Grid environments. Further, we describe two EAI approaches, the Particle Swarm Optimization
PSO-Grid Multiswarm Federation and the Ant Colony Optimization
ACO-Grid Asynchronous Colonies Optimization replica optimization algorithms, with some examples. We also present extended results with best performance and scalability features for
PSO-Grid Multiswarm Federation. |
| Author | García Carballeira, Félix Salt Cairols, José Méndez Muñoz, Víctor Amorós Vicente, Gabriel |
| Author_xml | – sequence: 1 givenname: Víctor surname: Méndez Muñoz fullname: Méndez Muñoz, Víctor email: vmendez@ific.uv.es organization: Grid and e-Science Group. Instituto de Física Corpuscular (IFIC) - mixed institute of Consejo Superior de Investigaciones Científicas (CSIC) and Universitat de València (UV) - Apt. Correus 22085, E-46071, València, Spain – sequence: 2 givenname: Gabriel surname: Amorós Vicente fullname: Amorós Vicente, Gabriel organization: Grid and e-Science Group. Instituto de Física Corpuscular (IFIC) - mixed institute of Consejo Superior de Investigaciones Científicas (CSIC) and Universitat de València (UV) - Apt. Correus 22085, E-46071, València, Spain – sequence: 3 givenname: Félix surname: García Carballeira fullname: García Carballeira, Félix organization: Computer Science Department. ARCOS Group. Escuela Politécnica Superior. Universidad Carlos III de Madrid. Av. Universidad 30 - 28911 Leganes, Spain – sequence: 4 givenname: José surname: Salt Cairols fullname: Salt Cairols, José organization: Grid and e-Science Group. Instituto de Física Corpuscular (IFIC) - mixed institute of Consejo Superior de Investigaciones Científicas (CSIC) and Universitat de València (UV) - Apt. Correus 22085, E-46071, València, Spain |
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| Title | Emergent algorithms for replica location and selection in data grid |
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