A biased random-key genetic algorithm for the cloud resource management problem

Leonard Heilig*, Eduardo Lalla-Ruiz, Stefan Voß

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

Abstract

Flexible use options and associated cost savings of cloud computing are increasingly attracting the interest from both researchers and practitioners. Since cloud providers offer various cloud services in different forms, there is a large potential of optimizing the selection of those services from the consumer perspective. In this paper, we address the Cloud Resource Management Problem that is a recent optimization problem aimed at reducing the payment cost and the execution time of consumer applications. In the related literature, there is one approach that successfully addresses this problem based on a Greedy Randomized Adaptive Search Procedure. Due to the fact that consumers require fast and high-quality solutions to economically automate cloud resource management and deployment processes, we propose an efficient Biased Random-Key Genetic Algorithm. The computational experiments over a benchmark suite generated based on real cloud market offerings indicate that the performance of our approach outperforms the approaches proposed in the literature.

Original languageEnglish
Title of host publicationEvolutionary Computation in Combinatorial Optimization - 15th European Conference, EvoCOP 2015, Proceedings
EditorsGabriela Ochoa, Francisco Chicano
PublisherSpringer
Pages1-12
Number of pages12
ISBN (Electronic)978-3-319-16468-7
ISBN (Print)978-3-319-16467-0
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event15th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2015 - National Museum, Copenhagen, Denmark
Duration: 8 Apr 201510 Apr 2015
Conference number: 15
http://www.evostar.org/2015/cfp_evocop.php

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9026
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2015
Abbreviated titleEvoCOP
CountryDenmark
CityCopenhagen
Period8/04/1510/04/15
Internet address

Keywords

  • Cloud computing
  • Cloud resource management
  • Genetic algorithm
  • Optimization
  • Combinatorial Optimization
  • Metaheuristics

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  • Cite this

    Heilig, L., Lalla-Ruiz, E., & Voß, S. (2015). A biased random-key genetic algorithm for the cloud resource management problem. In G. Ochoa, & F. Chicano (Eds.), Evolutionary Computation in Combinatorial Optimization - 15th European Conference, EvoCOP 2015, Proceedings (pp. 1-12). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9026). Springer. https://doi.org/10.1007/978-3-319-16468-7_1