CLOUD BROKER RECOMMENDATION FRAMEWORK TO PROVIDE TRUSTWORTHY CLOUD SERVICES TO THE END USER

被引:0
|
作者
Marimuthu, M. [1 ]
Akilandeswari, J. [2 ]
Varasree, B. [3 ]
Gunupudi, Rajesh Kumar [4 ]
Ramasubbareddy, Somula [4 ]
机构
[1] Sona Coll Technol, Dept Comp Sci & Engn, Salem, India
[2] Sona Coll Technol, Dept Informat Technol, Salem, India
[3] Inst Aeronaut Engn, Informat Technol, Hyderabad, India
[4] VNRVJIET, Informat Technol, Hyderabad, India
来源
关键词
cloud broker; cloud service provider; end user; recommendation framework; logistic regression; SELECTION; AWARE; RANKING;
D O I
10.12694/scpe.v23i4.2034
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
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.
引用
收藏
页码:303 / 319
页数:17
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