Emergent Algorithms for Replica Location and Selection in Data Grid Articles uri icon

publication date

  • July 2010

start page

  • 934

end page

  • 946

issue

  • 7

volume

  • 26

International Standard Serial Number (ISSN)

  • 0167-739X

Electronic International Standard Serial Number (EISSN)

  • 1872-7115

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.