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Extremal Optimization applied to load balancing in execution of distributed programs

Ivanoe de Falco 1 Eryk Laskowski 2 Richard Olejnik 3 Umberto Scafuri 1 Ernesto Tarantino 1 Marek Tudruj 2, 4
1 ICAR - Institute of High Performance Computing and Networking
2 Institute of Computer Science [Warszawa]
3 CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
4 PJIIT - Polish-Japanese Institute of Information Technology
Abstract : The paper describes methods for using Extremal Optimization (EO) for processor load balancing during execution of distributed applications. A load balancing algorithm for clusters of multicore processors is presented and discussed. In this algorithm the EO approach is used to periodically detect the best tasks as candidates for migration and for a guided selection of the best computing nodes to receive the migrating tasks. To decrease the complexity of selection for migration, the embedded EO algorithm assumes a two-step stochastic selection during the solution improvement based on two separate fitness functions. The functions are based on specific models which estimate relations between the programs and the executive hardware. The proposed load balancing algorithm is assessed by experiments with simulated load balancing of distributed program graphs. The algorithm is compared against a greedy fully deterministic approach, a genetic algorithm and an EO-based algorithm with random placement of migrated tasks.
Keywords : Distributed programs Extremal optimization Load balancing
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Journal articles
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https://hal.inria.fr/hal-01243055
Contributor : Richard Olejnik <>
Submitted on : Monday, December 14, 2015 - 2:58:11 PM
Last modification on : Friday, December 11, 2020 - 6:44:03 PM

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CRISTAL-EMERAUDE | CRISTAL | CNRS | UNIV-LILLE

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Ivanoe de Falco, Eryk Laskowski, Richard Olejnik, Umberto Scafuri, Ernesto Tarantino, et al.. Extremal Optimization applied to load balancing in execution of distributed programs. Applied Soft Computing, Elsevier, 2015, 30, pp.501-513. ⟨10.1016/j.asoc.2015.01.048⟩. ⟨hal-01243055⟩

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