A Systematic Review of Scheduling Algorithms and Resource Management in Context-aware Applications: A Meta-analytic Approach

Puntel, Fernando Emilio; Charão, Andrea Schwertner; Franciscatto, María Helena; Lima, João Carlos D.; Rocha, Cristiane Cinara

doi:10.5220/0006799406640670

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2019

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“…We intend to organize these works considering tasks characteristics, system infrastructure, and optimization criteria. Under this collection, we also perform a meta-analysis [Puntel et al 2018], presenting information such as impact factor, number of citations, and author's affiliation.…”

Section: Introductionmentioning

confidence: 99%

Genetic algorithms and multiprocessor task scheduling: A systematic literature review

Silva¹,

Gabriel²

2019

Anais Do Encontro Nacional De Inteligência Artificial E Computacional (ENIAC 2019)

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This paper reports a systematic review of the literature about genetic algorithms applied to the multiprocessor task scheduling problem. After defining a protocol with the main rules of this review, the research was performed considering journal papers published between 1990 and 2018. At the end of this process, 37 works were recovered and analyzed. By performing a meta-analysis, a variety of information was extracted and summarized, including impact factor, Eigenfactor score, scenarios considered, optimization metrics, volume of citations, and others.

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Section: Introductionmentioning

confidence: 99%