TY  - JOUR
AU  - Mendez, V.
AU  - Amoros, G.
AU  - Garcia, F.
AU  - Salt, J.
PY  - 2010
DA  - 2010//
TI  - Emergent algorithms for replica location and selection in data grid
T2  - Futur. Gener. Comp. Syst.
JO  - Future Generation Computer Systems
SP  - 934
EP  - 946
VL  - 26
IS  - 7
PB  - Elsevier Science Bv
KW  - Grid computing
KW  - Algorithms
KW  - Optimization methods
KW  - Artificial intelligence
AB  - 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.
SN  - 0167-739x
UR  - https://doi.org/10.1016/j.future.2010.03.007
DO  - 10.1016/j.future.2010.03.007
LA  - English
N1  - ISI:000279804200004
ID  - Mendez_etal2010
ER  -