Distributed Processor Load Balancing Based on Multi-objective Extremal Optimization

Autor: Ivanoe De Falco 1, Eryk Laskowski 2, Richard Olejnik 3, Umberto Scafuri 1, Ernesto Tarantino 1, Marek Tudruj 2, 4

Publikováno v: Internet and Distributed Computing Systems
Montella R.; Ciaramella A.; Fortino G.; Guerrieri A.; Liotta A. (eds). Internet and Distributed Computing Systems, vol 11874, Springer, Cham, pp.158-168, 2019, Lecture Notes in Computer Science & Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 11874), 978-3-030-34913-4. ⟨10.1007/978-3-030-34914-1_16⟩
International Conference on Internet and Distributed Computing Systems 2019 (IDCS 2019), pp. 158–168, Naples, Italy, 10-12/10/2019
info:cnr-pdr/source/autori:Ivanoe De Falco 1, Eryk Laskowski 2, Richard Olejnik 3, Umberto Scafuri 1, Ernesto Tarantino 1, Marek Tudruj 2,4/congresso_nome:International Conference on Internet and Distributed Computing Systems 2019 (IDCS 2019)/congresso_luogo:Naples, Italy/congresso_data:10-12%2F10%2F2019/anno:2019/pagina_da:158/pagina_a:168/intervallo_pagine:158–168
Internet and Distributed Computing Systems ISBN: 9783030349134
IDCS

International audience; The paper proposes and discusses distributed processor load balancing algorithms which are based on nature inspired approach of multi-objective Extremal Optimization. Extremal Optimization is used for defining task migration a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6371420fc5e8393e4e7db7f7a3f0085
https://inria.hal.science/hal-02416798