research-article

Grouping genetic algorithm for solving the serverconsolidation problem with conflicts

Authors:

Shubham Agrawal,

Sumit Kumar Bose,

Srikanth SundarrajanAuthors Info & Claims

GEC '09: Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation

Pages 1 - 8

https://doi.org/10.1145/1543834.1543836

Published: 12 June 2009 Publication History

Abstract

The advent of virtualization technologies encourages

organizations to undertake server consolidation exercises for improving the overall server utilization and for minimizing the capacity redundancy within data-centers. Identifying complimentary workload patterns is a key to the success of server consolidation exercises and for enabling multi-tenancy within data-centers. Existing works either do not consider incompatibility constraints or performs poorly on the disjointed conflict graphs. The algorithm proposed in the current work overcomes the limitations posed by the existing solutions. The current work models the server consolidation problem as a vector packing problem with conflicts (VPC) and tries to minimize the number of servers used for hosting applications within datacenters and maximizes the packing efficiency of the servers utilized. This paper solves the problem using techniques inspired from grouping genetic algorithm (GGA) - a variant of the traditional Genetic Algorithm (GA). The algorithm is tested over varying scenarios which show encouraging results.

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Cited By

Mezghani SHaddar BChabchoub H(2023)The evolution of rectangular bin packing problem — A review of research topics, applications, and cited papersJournal of Industrial and Management Optimization10.3934/jimo.202208819:5(3329-3361)Online publication date: 2023
https://doi.org/10.3934/jimo.2022088
Vijaya CSrinivasan P(2020)A Hybrid Technique for Server Consolidation in Cloud Computing EnvironmentCybernetics and Information Technologies10.2478/cait-2020-000320:1(36-52)Online publication date: 27-Mar-2020
https://doi.org/10.2478/cait-2020-0003
Wang HLi JTian JWang K(2020)WebIDE Cloud Server Resource Allocation With Task Pre-Scheduling in IoT Application DevelopmentIEEE Access10.1109/ACCESS.2020.29677908(16216-16224)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2967790
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Index Terms

Grouping genetic algorithm for solving the serverconsolidation problem with conflicts
1. Mathematics of computing
  1. Mathematical analysis
    1. Mathematical optimization
2. Theory of computation
  1. Design and analysis of algorithms
    1. Mathematical optimization

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Published In

cover image ACM Conferences

GEC '09: Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation

June 2009

1112 pages

ISBN:9781605583266

DOI:10.1145/1543834

General Chairs:
Lihong Xu
Tongji University, China
,
Erik D. Goodman
Michigan State University, USA
,
Program Chairs:
Guoliang Chen
University of Sci. & Tech. of China
,
Darrell Whitley
Colorado State University, USA
,
Yongsheng Ding
Donghua University, China

Copyright © 2009 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 12 June 2009

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GEC '09

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GEC '09: GEC '09 - ACM/SIGEVO Genetic and Evolutionary Computation Summit

June 12 - 14, 2009

Shanghai, China

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Cited By

Mezghani SHaddar BChabchoub H(2023)The evolution of rectangular bin packing problem — A review of research topics, applications, and cited papersJournal of Industrial and Management Optimization10.3934/jimo.202208819:5(3329-3361)Online publication date: 2023
https://doi.org/10.3934/jimo.2022088
Vijaya CSrinivasan P(2020)A Hybrid Technique for Server Consolidation in Cloud Computing EnvironmentCybernetics and Information Technologies10.2478/cait-2020-000320:1(36-52)Online publication date: 27-Mar-2020
https://doi.org/10.2478/cait-2020-0003
Wang HLi JTian JWang K(2020)WebIDE Cloud Server Resource Allocation With Task Pre-Scheduling in IoT Application DevelopmentIEEE Access10.1109/ACCESS.2020.29677908(16216-16224)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2967790
Rashida SSabaei MEbadzadeh MRahmani A(2020)A memetic grouping genetic algorithm for cost efficient VM placement in multi-cloud environmentCluster Computing10.1007/s10586-019-02956-823:2(797-836)Online publication date: 1-Jun-2020
https://dl.acm.org/doi/10.1007/s10586-019-02956-8
Wang HLi JTian JWang K(2019)WebIDE Cloud Server Resource Allocation with Task Pre-Scheduling in IOT Application Development2019 IEEE International Conference on Industrial Internet (ICII)10.1109/ICII.2019.00054(278-286)Online publication date: Nov-2019
https://doi.org/10.1109/ICII.2019.00054
Li HZhao YFang S(2019)CSL-driven and energy-efficient resource scheduling in cloud data centerThe Journal of Supercomputing10.1007/s11227-019-03036-9Online publication date: 23-Oct-2019
https://doi.org/10.1007/s11227-019-03036-9
Li HWang HFang SZou YTian W(2019)An energy-aware scheduling algorithm for big data applications in SparkCluster Computing10.1007/s10586-019-02947-9Online publication date: 4-Jun-2019
https://doi.org/10.1007/s10586-019-02947-9
Wu YFang YLiu BZhao Z(2018)A novel service deployment approach based on resilience metrics for service-oriented systemPersonal and Ubiquitous Computing10.5555/3288897.328893322:5-6(1099-1107)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.5555/3288897.3288933
(2018)Enhanced cuckoo search algorithm for virtual machine placement in cloud data centresInternational Journal of Grid and Utility Computing10.1504/IJGUC.2018.0902219:1(1-17)Online publication date: 1-Jan-2018
https://dl.acm.org/doi/10.1504/IJGUC.2018.090221
Scarpiniti MBaccarelli ENaranjo PUncini A(2018)Energy performance of heuristics and meta-heuristics for real-time joint resource scaling and consolidation in virtualized networked data centersThe Journal of Supercomputing10.1007/s11227-018-2244-674:5(2161-2198)Online publication date: 1-May-2018
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