@Article{Mendez_etal2010,
author="Mendez, V.
and Amoros, G.
and Garcia, F.
and Salt, J.",
title="Emergent algorithms for replica location and selection in data grid",
journal="Future Generation Computer Systems",
year="2010",
publisher="Elsevier Science Bv",
volume="26",
number="7",
pages="934--946",
optkeywords="Grid computing; Algorithms; Optimization methods; Artificial intelligence",
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 Multiswarrn Federation.",
optnote="ISI:000279804200004",
optnote="exported from refbase (https://references.ific.uv.es/refbase/show.php?record=411), last updated on Thu, 01 Nov 2012 20:02:41 +0000",
issn="0167-739x",
doi="10.1016/j.future.2010.03.007",
opturl="https://doi.org/10.1016/j.future.2010.03.007",
language="English"
}