Cloud Broker Recommendation Framework to Provide Trustworthy Cloud Services to the End User

IF 0.9 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
M. Marimuthu, J. Akilandeswari, B. Varasree, Gunupudi RAJESH KUMAR, S. Ramasubbareddy
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引用次数: 0

Abstract

In recent years, many cloud services have become available on the Website}. Discovering suitable cloud services for the end user is incredibly complex and difficult. The cloud brokerage service is an application that aids in providing solutions for this problem. It recommends suitable cloud service providers to the end users depending on their relevant requirements. The Internet provides access to a wide variety of cloud brokers. As a result, choosing a cloud broker or service provider is both time-consuming and tedious. It is now becoming a necessity to choose a proper cloud brokerage service based on trust. Research works found in the literature address some of the issues and provide feasible solutions by proposing frameworks, optimizations and rule based algorithms. However, those works focus solely on delivering a trustworthy service to the end user through application of techniques and algorithms. There is no proper framework model in place to provide suitable and trustworthy recommended services to the users. This article provides a detailed description of the frameworks that are offered by the researchers, including issues and proposes a trustworthy recommendation framework (TRF) to provide trustworthy services to the end user. This article also presents a Trustworthy Recommended Weighted value (TRWv) approach for determining trustworthy services, and it is discovered that the proposed method achieves high accuracy (91.3%) when compared to similar works.
云代理推荐框架,为最终用户提供可信赖的云服务
近年来,许多云服务已经可以在网站上使用。为最终用户发现合适的云服务是非常复杂和困难的。云经纪服务是一个应用程序,它有助于为这个问题提供解决方案。它根据最终用户的相关需求,向他们推荐合适的云服务提供商。互联网提供了对各种云代理的访问。因此,选择云代理或服务提供商既耗时又乏味。现在,基于信任选择合适的云经纪服务已成为一种必要。在文献中发现的研究工作解决了一些问题,并通过提出框架、优化和基于规则的算法提供了可行的解决方案。然而,这些工作仅仅关注于通过技术和算法的应用向最终用户提供值得信赖的服务。没有适当的框架模型来为用户提供合适和值得信赖的推荐服务。本文详细描述了研究人员提供的框架,包括问题,并提出了一个可信推荐框架(TRF),为最终用户提供可信的服务。本文还提出了一种可信赖推荐加权值(TRWv)方法来确定可信赖服务,与同类研究相比,该方法达到了较高的准确率(91.3%)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Scalable Computing-Practice and Experience
Scalable Computing-Practice and Experience COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
2.00
自引率
0.00%
发文量
10
期刊介绍: The area of scalable computing has matured and reached a point where new issues and trends require a professional forum. SCPE will provide this avenue by publishing original refereed papers that address the present as well as the future of parallel and distributed computing. The journal will focus on algorithm development, implementation and execution on real-world parallel architectures, and application of parallel and distributed computing to the solution of real-life problems.
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