research-article

An Improved Scheduling Strategy in Cloud Computing Using Fuzzy Logic

Authors:

Awatif Ragmani,

Noreddine Abghour,

Khalid Moussaid,

Mohammed RidaAuthors Info & Claims

BDAW '16: Proceedings of the International Conference on Big Data and Advanced Wireless Technologies

Article No.: 22, Pages 1 - 9

https://doi.org/10.1145/3010089.3010107

Published: 10 November 2016 Publication History

Abstract

Within few years, Cloud computing has emerged as the most promising IT business model. Thanks to its various technical and financial advantages, Cloud computing continues to convince every day new users coming from scientific and industrial sectors. To satisfy the various users' requirements, Cloud providers must maximize the performance of their IT resources to ensure the best service at the lowest cost. The performance optimization efforts in the Cloud can be achieved at different levels and aspects. In the present paper, we propose to introduce a fuzzy logic process in scheduling strategy for public Cloud in order to improve the response time, processing time and total cost. In fact, fuzzy logic has proven his ability to solve the problem of optimization in several fields such as data mining, image processing, networking and much more.

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Cited By

Abdulhammed O(2021)Load balancing of IoT tasks in the cloud computing by using sparrow search algorithmThe Journal of Supercomputing10.1007/s11227-021-03989-wOnline publication date: 21-Jul-2021
https://doi.org/10.1007/s11227-021-03989-w
Asim MWang YWang KHuang P(2020)A Review on Computational Intelligence Techniques in Cloud and Edge ComputingIEEE Transactions on Emerging Topics in Computational Intelligence10.1109/TETCI.2020.30079054:6(742-763)Online publication date: Dec-2020
https://doi.org/10.1109/TETCI.2020.3007905
Liang BDong XWang YZhang X(2020)A low-power task scheduling algorithm for heterogeneous cloud computingThe Journal of Supercomputing10.1007/s11227-020-03163-8Online publication date: 18-Jan-2020
https://doi.org/10.1007/s11227-020-03163-8
Show More Cited By

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An Improved Scheduling Strategy in Cloud Computing Using Fuzzy Logic

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cover image ACM Other conferences

BDAW '16: Proceedings of the International Conference on Big Data and Advanced Wireless Technologies

November 2016

398 pages

ISBN:9781450347792

DOI:10.1145/3010089

Copyright © 2016 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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New York, NY, United States

Publication History

Published: 10 November 2016

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BDAW '16

BDAW '16: International Conference on Big Data and Advanced Wireless Technologies

November 10 - 11, 2016

Blagoevgrad, Bulgaria

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Cited By

Abdulhammed O(2021)Load balancing of IoT tasks in the cloud computing by using sparrow search algorithmThe Journal of Supercomputing10.1007/s11227-021-03989-wOnline publication date: 21-Jul-2021
https://doi.org/10.1007/s11227-021-03989-w
Asim MWang YWang KHuang P(2020)A Review on Computational Intelligence Techniques in Cloud and Edge ComputingIEEE Transactions on Emerging Topics in Computational Intelligence10.1109/TETCI.2020.30079054:6(742-763)Online publication date: Dec-2020
https://doi.org/10.1109/TETCI.2020.3007905
Liang BDong XWang YZhang X(2020)A low-power task scheduling algorithm for heterogeneous cloud computingThe Journal of Supercomputing10.1007/s11227-020-03163-8Online publication date: 18-Jan-2020
https://doi.org/10.1007/s11227-020-03163-8
Ragmani AOmri AAbghour NMoussaid KRida MHamdan HToral-Cruz HAkleylek SMcheick HBoubiche D(2017)An efficient load balancing strategy based on mapreduce for public cloudProceedings of the Second International Conference on Internet of things, Data and Cloud Computing10.1145/3018896.3056777(1-10)Online publication date: 22-Mar-2017
https://dl.acm.org/doi/10.1145/3018896.3056777

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