Efficient Docker Container Scheduling Using ABC Optimization Technique
Ram Krishna Verma1, Ruchika Gupta2
1Ram Krishna Verma, Department of Computer Science and Engineering, Chandigarh University, Mohali, Punjab, India.
2Ruchika Gupta, Department of Computer Science and Engineering, Chandigarh University, Mohali, Punjab, India.
Manuscript received on 21 September 2019 | Revised Manuscript received on 30 September 2019 | Manuscript Published on 01 October 2019 | PP: 26-32 | Volume-8 Issue-9S4 July 2019 | Retrieval Number: I11050789S419/19©BEIESP | DOI: 10.35940/ijitee.I1105.0789S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In recent years the usage of virtualized technology is increasing rapidly. This makes enhancement in the performance efficiency leads to the need of the virtualization machine. This study is developed to enhance the performance level of the docker containers in cloud computing. The work presented in the paper considers the major parameters like availability, load, location, and energy of virtual machines to increase the system performance. The major objective of the work is to analyze and distribute the load of machines equally. The ABC (Artificial or Counterfeit Bee Colony) algorithm is used. For this purpose the ABC algorithm replaces the traditional ACO approach because of its various features such as simplicity, flexibility, and robustness. The output of the proposed work is evaluated in the terms of energy consumption and job completion. The observed values corresponding to these factors prove the proficiency of the suggested ABC algorithm based technique over traditional ACO algorithm based technique.
Keywords: Cloud Computing, Container, Docker, Energy Consumption, job completion.
Scope of the Article: Cloud Computing