PT Journal
AU Mendez, V
   Amoros, G
   Garcia, F
   Salt, J
TI Emergent algorithms for replica location and selection in data grid
SO Future Generation Computer Systems
JI Futur. Gener. Comp. Syst.
PY 2010
BP 934
EP 946
VL 26
IS 7
DI 10.1016/j.future.2010.03.007
LA English
DE Grid computing; Algorithms; Optimization methods; 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.
ER