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

Cloud Broker Recommendation Framework to provide Trustworthy cloud services to the End user

Authors

  • M. Marimuthu Department of Computer Science and Engineering, Sona College of Technology, India
  • J. Akilandeswari Department of Information Technology, Sona College of Technology, India
  • B. Varasree Information Technology, Institute of Aeronautical Engineering, Hyderabad, India
  • Gunupudi RAJESH KUMAR VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India
  • Somula Ramasubbareddy Department of Information Technology, VNRVJIET, Hyderabad, India

DOI:

https://doi.org/10.12694/scpe.v23i4.2034

Keywords:

cloud broker, cloud service provider, end user, recommendation framework, logistic regression

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.

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Published

2022-12-23

Issue

Section

Proposal for Special Issue Papers