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BFS-SVM Classifier for QoS and Resource Allocation in Cloud Environment

A. Richard William1,*, J. Senthilkumar2, Y. Suresh2, V. Mohanraj2

1 Er Perumal Manimekalai College of Engineering, Hosur, 636352, Tamil Nadu, India
2 Sona College of Technology, Salem, 636005, Tamil Nadu, India

* Corresponding Author: A. Richard William. Email: email

Computer Systems Science and Engineering 2023, 47(1), 777-790. https://doi.org/10.32604/csse.2023.031753

Abstract

In cloud computing Resource allocation is a very complex task. Handling the customer demand makes the challenges of on-demand resource allocation. Many challenges are faced by conventional methods for resource allocation in order to meet the Quality of Service (QoS) requirements of users. For solving the about said problems a new method was implemented with the utility of machine learning framework of resource allocation by utilizing the cloud computing technique was taken in to an account in this research work. The accuracy in the machine learning algorithm can be improved by introducing Bat Algorithm with feature selection (BFS) in the proposed work, this further reduces the inappropriate features from the data. The similarities that were hidden can be demoralized by the Support Vector Machine (SVM) classifier which is also determine the subspace vector and then a new feature vector can be predicted by using SVM. For an unexpected circumstance SVM model can make a resource allocation decision. The efficiency of proposed SVM classifier of resource allocation can be highlighted by using a single-cell multiuser massive Multiple-Input Multiple Output (MIMO) system, with beam allocation problem as an example. The proposed resource allocation based on SVM performs efficiently than the existing conventional methods; this has been proven by analysing its results.

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APA Style
William, A.R., Senthilkumar, J., Suresh, Y., Mohanraj, V. (2023). BFS-SVM classifier for qos and resource allocation in cloud environment. Computer Systems Science and Engineering, 47(1), 777-790. https://doi.org/10.32604/csse.2023.031753
Vancouver Style
William AR, Senthilkumar J, Suresh Y, Mohanraj V. BFS-SVM classifier for qos and resource allocation in cloud environment. Comput Syst Sci Eng. 2023;47(1):777-790 https://doi.org/10.32604/csse.2023.031753
IEEE Style
A.R. William, J. Senthilkumar, Y. Suresh, and V. Mohanraj "BFS-SVM Classifier for QoS and Resource Allocation in Cloud Environment," Comput. Syst. Sci. Eng., vol. 47, no. 1, pp. 777-790. 2023. https://doi.org/10.32604/csse.2023.031753



cc 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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