A Collaborative Ranking Approach for Discovery and Selection of Cloud Services

M. Rathore, U. Suman
{"title":"A Collaborative Ranking Approach for Discovery and Selection of Cloud Services","authors":"M. Rathore, U. Suman","doi":"10.4018/978-1-7998-3479-3.ch015","DOIUrl":null,"url":null,"abstract":"Cloud computing is getting more popular due to its extraordinary features such as on-demand availability of computing resources and software services. A variety of services have been deployed to offer analogous functionalities. However, the difficulty to identify reliable services has fascinated the attention of researchers. Thus, the trust and reputation concept have been introduced to evaluate the trustworthiness of services over cloud. Most of the existing research works fully trust on service user's feedback rating for ranking cloud services, which may often lead to biasness towards positive and negative feedback rating. To avoid aforementioned issues, this chapter proposes a novel approach to evaluate cloud service reputation along with cloud service reputation evaluation model to discover reliable cloud services. Experimental result shows that proposed approach provides effective solution for prediction of cloud service reputation, which can be helpful in performing reliable service discovery and selection over cloud.","PeriodicalId":101975,"journal":{"name":"Encyclopedia of Information Science and Technology, Fifth Edition","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Encyclopedia of Information Science and Technology, Fifth Edition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/978-1-7998-3479-3.ch015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Cloud computing is getting more popular due to its extraordinary features such as on-demand availability of computing resources and software services. A variety of services have been deployed to offer analogous functionalities. However, the difficulty to identify reliable services has fascinated the attention of researchers. Thus, the trust and reputation concept have been introduced to evaluate the trustworthiness of services over cloud. Most of the existing research works fully trust on service user's feedback rating for ranking cloud services, which may often lead to biasness towards positive and negative feedback rating. To avoid aforementioned issues, this chapter proposes a novel approach to evaluate cloud service reputation along with cloud service reputation evaluation model to discover reliable cloud services. Experimental result shows that proposed approach provides effective solution for prediction of cloud service reputation, which can be helpful in performing reliable service discovery and selection over cloud.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
一种用于发现和选择云服务的协作排序方法
云计算由于其非凡的特性,如计算资源和软件服务的按需可用性,正变得越来越受欢迎。已经部署了各种服务来提供类似的功能。然而,识别可靠服务的困难引起了研究人员的注意。因此,引入了信任和声誉的概念来评估云上服务的可信度。现有的研究工作大多完全依赖于服务用户的反馈评价来对云服务进行排名,这往往会导致对正反馈和负反馈评价的偏向。为了避免上述问题,本章提出了一种新的云服务声誉评估方法以及云服务声誉评估模型,以发现可靠的云服务。实验结果表明,该方法为云服务信誉预测提供了有效的解决方案,有助于在云上进行可靠的服务发现和选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Effect of Nanoparticle and Inclination Angle at Thermal Efficiency in Heatpipes The Role of DPPs in Promoting Local Government-Citizen Collaboration and Participation A Collaborative Ranking Approach for Discovery and Selection of Cloud Services Gendering Information and Communication Technologies in Climate Change Narrowband Internet of Things
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1