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DOI: 10.14569/IJACSA.2020.0111174
PDF

Hybrid Solution for Container Placement and Load Balancing based on ACO and Bin Packing

Author 1: Oussama SMIMITE
Author 2: Karim AFDEL

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 11, 2020.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Currently, data centers energy consumption in the cloud is attracting a lot of interest. One of the most approaches to optimize energy and cost in data centers is virtualization. Recently, a new type of container-based virtualization has ap-peared, containers are considered very light and modular virtual machines, they offer great flexibility and the possibility of migra-tion from one environment to another, which allows optimizing applications for the cloud. Another approach to saving energy is to consolidate the workload, which is the amount of processing that the computer has to perform at any given time. In this article, we will study the container placement algorithm that takes into account the QoS requirements of different users in order to minimize energy consumption. Thus, we proposed a Hybrid approach for managing resources and workload based on ant colony optimization (ACO) and the first-fit decreasing (FFD) algorithm to avoid unnecessary power consumption. The results of the experiment indicate that using the first-fit decreasing algorithm (FFD) for container placement is better than ant colony optimization especially in a homogeneous systems. On the other hand the ant colony optimization shows very satisfying results in the case of workload management.

Keywords: Cloud; virtualization; container; placement; Green IT; containerization

Oussama SMIMITE and Karim AFDEL, “Hybrid Solution for Container Placement and Load Balancing based on ACO and Bin Packing” International Journal of Advanced Computer Science and Applications(IJACSA), 11(11), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0111174

@article{SMIMITE2020,
title = {Hybrid Solution for Container Placement and Load Balancing based on ACO and Bin Packing},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0111174},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0111174},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {11},
author = {Oussama SMIMITE and Karim AFDEL}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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