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Auto-Scaling Framework for Enhancing the Quality of Service in the Mobile Cloud Environments

Yogesh Kumar1,*, Jitender Kumar1, Poonam Sheoran2

1 CSE Department, DCR University of Science and Technology, Murthal, Sonepat, 131039, India
2 BME Department, DCR University of Science and Technology, Murthal, Sonepat, 131039, India

* Corresponding Author: Yogesh Kumar. Email: email

Computers, Materials & Continua 2023, 75(3), 5785-5800. https://doi.org/10.32604/cmc.2023.039276

Abstract

On-demand availability and resource elasticity features of Cloud computing have attracted the focus of various research domains. Mobile cloud computing is one of these domains where complex computation tasks are offloaded to the cloud resources to augment mobile devices’ cognitive capacity. However, the flexible provisioning of cloud resources is hindered by uncertain offloading workloads and significant setup time of cloud virtual machines (VMs). Furthermore, any delays at the cloud end would further aggravate the miseries of real-time tasks. To resolve these issues, this paper proposes an auto-scaling framework (ACF) that strives to maintain the quality of service (QoS) for the end users as per the service level agreement (SLA) negotiated assurance level for service availability. In addition, it also provides an innovative solution for dealing with the VM startup overheads without truncating the running tasks. Unlike the waiting cost and service cost tradeoff-based systems or threshold-rule-based systems, it does not require strict tuning in the waiting costs or in the threshold rules for enhancing the QoS. We explored the design space of the ACF system with the CloudSim simulator. The extensive sets of experiments demonstrate the effectiveness of the ACF system in terms of good reduction in energy dissipation at the mobile devices and improvement in the QoS. At the same time, the proposed ACF system also reduces the monetary costs of the service providers.

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APA Style
Kumar, Y., Kumar, J., Sheoran, P. (2023). Auto-scaling framework for enhancing the quality of service in the mobile cloud environments. Computers, Materials & Continua, 75(3), 5785-5800. https://doi.org/10.32604/cmc.2023.039276
Vancouver Style
Kumar Y, Kumar J, Sheoran P. Auto-scaling framework for enhancing the quality of service in the mobile cloud environments. Comput Mater Contin. 2023;75(3):5785-5800 https://doi.org/10.32604/cmc.2023.039276
IEEE Style
Y. Kumar, J. Kumar, and P. Sheoran, “Auto-Scaling Framework for Enhancing the Quality of Service in the Mobile Cloud Environments,” Comput. Mater. Contin., vol. 75, no. 3, pp. 5785-5800, 2023. https://doi.org/10.32604/cmc.2023.039276



cc Copyright © 2023 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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