An Adaptive Service Monitoring System in a Cloud Computing Environment

IF 0.6 Q4 COMPUTER SCIENCE, THEORY & METHODS International Journal of Grid and High Performance Computing Pub Date : 2020-04-01 DOI:10.4018/ijghpc.2020040103
E. Sathiyamoorthy, P. Karthikeyan
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Abstract

Cloud computing is a trending area of information technology (IT). In a cloud environment, the Cloud service provider (CSP) provides all the functionalities to the users or customers in terms of services. With the rapid development of cloud computing, the performance of any cloud environment relies on the quality of services (QoS) at the time of providing the services. A service level agreement (SLA) increases the confidence of the user or customer to use the cloud services in a cloud environment. There should be negotiation between the CSP and users to achieve a strong SLA. Many existing SLA models are already developed. However, these models do not concentrate to maintain the quality in a long-time duration period. To solve this issue, a novel SLA model has been proposed in this article by using Fuzzy logic. Both the theoretical and simulation results show the proficiency of the proposed scheme over the existing schemes in a cloud computing environment.
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云计算环境下的自适应业务监控系统
云计算是信息技术(IT)的一个趋势领域。在云环境中,云服务提供商(CSP)以服务的形式向用户或客户提供所有功能。随着云计算的快速发展,任何云环境的性能都依赖于提供服务时的服务质量(QoS)。服务水平协议(SLA)提高了用户或客户在云环境中使用云服务的信心。CSP和用户之间应该进行协商,以实现强大的SLA。已经开发了许多现有的SLA模型。然而,这些模型不能集中精力在长时间内保持质量。为了解决这一问题,本文利用模糊逻辑提出了一种新的SLA模型。理论和仿真结果均表明,在云计算环境下,所提方案优于现有方案。
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来源期刊
CiteScore
1.70
自引率
10.00%
发文量
24
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