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A multi-swarm based approach with cooperative learning strategy for composite SaaS placement

Authors:

Haithem Mezni,

Jaber KoukiAuthors Info & Claims

SAC '17: Proceedings of the Symposium on Applied Computing

Pages 399 - 404

https://doi.org/10.1145/3019612.3019632

Published: 03 April 2017 Publication History

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Abstract

This paper explores one of the critical issues, SaaS placement in cloud data centers, for reducing execution time of composite SaaS applications. We adopt a multi-swarm variant of Particle Swarm Optimization (PSO) to propose a service placement method. Also, a cooperative learning strategy is hybridized to the placement algorithm, which makes information of best candidate servers be used more effectively to generate better placement plan. In the proposed method, for each sub-swarm of servers, the worst placement learns from the best servers, so that worst servers can have more excellent exemplars to learn and can find the optimal placement for SaaS components more easily. Experiments show that our solution is efficient in comparison with existing SaaS placement approaches.

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Cited By

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Abbes WKchaou HKechaou ZAlimi A(2023)A Hybrid Algorithm for Service Bursting Based on GA and BPSO in Hybrid Clouds2023 IEEE Symposium on Computers and Communications (ISCC)10.1109/ISCC58397.2023.10218272(200-205)Online publication date: 9-Jul-2023
https://doi.org/10.1109/ISCC58397.2023.10218272
Mezni HHamoud FCharrada F(2022)Predictive service placement in cloud using deep learning and frequent subgraph miningJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-022-03720-414:9(11497-11516)Online publication date: 31-Jan-2022
https://doi.org/10.1007/s12652-022-03720-4
Abbes WKechaou ZHussain AQahtani AAlmutiry ODhahri HAlimi A(2022)An Enhanced Binary Particle Swarm Optimization (E-BPSO) algorithm for service placement in hybrid cloud platformsNeural Computing and Applications10.1007/s00521-022-07839-535:2(1343-1361)Online publication date: 26-Sep-2022
https://doi.org/10.1007/s00521-022-07839-5
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Index Terms

A multi-swarm based approach with cooperative learning strategy for composite SaaS placement
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles
        Cloud computing

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Information & Contributors

Information

Published In

SAC '17: Proceedings of the Symposium on Applied Computing

April 2017

2004 pages

ISBN:9781450344869

DOI:10.1145/3019612

Conference Chair:
Sung Y. Shin
South Dakota State University
,
Program Chairs:
Dongwan Shin
New Mexico Tech
,
Maria Lencastre
University of Pernambuco, Brazil

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 April 2017

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SAC 2017

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SIGAPP

SAC 2017: Symposium on Applied Computing

April 3 - 7, 2017

Marrakech, Morocco

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

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Abbes WKchaou HKechaou ZAlimi A(2023)A Hybrid Algorithm for Service Bursting Based on GA and BPSO in Hybrid Clouds2023 IEEE Symposium on Computers and Communications (ISCC)10.1109/ISCC58397.2023.10218272(200-205)Online publication date: 9-Jul-2023
https://doi.org/10.1109/ISCC58397.2023.10218272
Mezni HHamoud FCharrada F(2022)Predictive service placement in cloud using deep learning and frequent subgraph miningJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-022-03720-414:9(11497-11516)Online publication date: 31-Jan-2022
https://doi.org/10.1007/s12652-022-03720-4
Abbes WKechaou ZHussain AQahtani AAlmutiry ODhahri HAlimi A(2022)An Enhanced Binary Particle Swarm Optimization (E-BPSO) algorithm for service placement in hybrid cloud platformsNeural Computing and Applications10.1007/s00521-022-07839-535:2(1343-1361)Online publication date: 26-Sep-2022
https://doi.org/10.1007/s00521-022-07839-5
Hedhli AMezni H(2021)A Survey of Service Placement in Cloud EnvironmentsJournal of Grid Computing10.1007/s10723-021-09565-z19:3Online publication date: 17-Jun-2021
https://doi.org/10.1007/s10723-021-09565-z

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