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Bio-inspired Load Balancing Algorithm in Cloud Computing

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Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017 (AISI 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 639))

Abstract

Cloud computing is a widespread computing concepts which access a huge amount of data that can be used by more clients. Therefore, load balancing between resources is an important field for scheduling tasks to achieve better performance. In this paper, a Hybrid artificial Bee and Ant Colony optimization (H_BAC) load balancing algorithm is proposed. It depends on joining the important behavior of Ant Colony Optimization (ACO) such as discovering good solutions rapidly and Artificial Bee Colony (ABC) Algorithm such as collective interaction of bees and sharing information by waggle dancing. The experimental results show that H_BAC improves execution time, response time, makespan, resource utilization and standard deviation. This improvement reaches about 40% in the execution time and response time and 30% in the makespan over the other algorithms.

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Author information

Authors and Affiliations

  1. Electrical Engineering Department, Suez Canal University, Ismailia, Egypt

    Marwa Gamal & Basem Elhady

  2. Electrical Engineering Department, Port Said University, Port Said, 42523, Egypt

    Rawya Rizk

  3. Computers and Systems Engineering Department, Ain Shams University, Cairo, Egypt

    Hani Mahdi

Authors
  1. Marwa Gamal
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  2. Rawya Rizk
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  3. Hani Mahdi
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  4. Basem Elhady
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Corresponding author

Correspondence to Rawya Rizk .

Editor information

Editors and Affiliations

  1. Faculty of Computers and Information, Information Technology Department, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Dubai International Academic City, The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

  3. Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt

    Tarek Gaber

  4. Ain Shams University, Cairo, Egypt

    Mohamed F. Tolba

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Gamal, M., Rizk, R., Mahdi, H., Elhady, B. (2018). Bio-inspired Load Balancing Algorithm in Cloud Computing. In: Hassanien, A., Shaalan, K., Gaber, T., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017. AISI 2017. Advances in Intelligent Systems and Computing, vol 639. Springer, Cham. https://doi.org/10.1007/978-3-319-64861-3_54

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  • DOI: https://doi.org/10.1007/978-3-319-64861-3_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64860-6

  • Online ISBN: 978-3-319-64861-3

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