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A Novel Performance Enhancing Task Scheduling Algorithm for Cloud-Based E-Health Environment
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Author(s): Vijayakumar Pandi (Department of Computer Science and Engineering, University College of Engineering Tindivanam, Tindivanam, India), Pandiaraja Perumal (Department of Computer Science and Engineering,M.Kumarasamy College of Engineering, Thalavapalayam, India), Balamurugan Balusamy (Department of Computer Science and Engineering, Galgotias University, Greater Noida, India)and Marimuthu Karuppiah (School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India)
Copyright: 2021
Pages: 16
Source title:
Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-5339-8.ch026
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Abstract
The fast-growing internet services have led to the rapid development of storing, retrieving and processing health-related documents from a public cloud. In such a scenario, the performance of cloud services offered is not guaranteed, since it depends on efficient resource scheduling, network bandwidth, etc. The trade-off which lies between the cost and the QoS is that the cost should be variably low on achieving high QoS. This can be done by performance optimization. In order to optimize the performance, a novel task scheduling algorithm is proposed in this article. The main advantage of this proposed scheduling algorithm is to improve the QoS parameters which comprises of metrics such as response time, computation time, availability and cost. The proposed work is simulated in Aneka and shows better performance compared to existing paradigms.
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