A crowdsource model for quality assurance in cloud computing

被引:2
|
作者
Hussain, Mohammed [1 ]
Al-Mourad, Mohamed Basel [1 ]
机构
[1] Zayed Univ, Dept Interdisciplinary Studies, Dubai 19282, U Arab Emirates
关键词
cloud computing; web-service auditing; quality of service; crowd sourcing; quality assurance;
D O I
10.1504/IJGUC.2016.10000990
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cloud computing has transformed the way businesses manage their IT resources. By uploading IT solution to the cloud, businesses are assured that computational power and storage capacity are available on demand. This makes cloud computing the next phase in the internet's evolution. Businesses that use Cloud Service Providers (CSPs) tend to have Service-Level Agreements (SLAs), which act as a contract and define the level of expected service from the CSP, including availability, performance and security. Third Party Auditors (TPAs) have been suggested by recent research as a means to monitor CSPs. While the use of TPAs may seem sufficient, this paper shows a method where a CSP may deceive the SLA to reduce their cost and become more competitive. The CSP may achieve that while avoiding detection by TPAs. This paper describes two methods that enable CSPs to deceive cloud users. The simulation described in this paper shows that CSPs may save considerable amounts of money. The paper also presents a crowdsourced TPA model that lays the foundation for a solution to the problem. Our model can help TPAs to monitor CSPs and consequently detect any divergence from stated SLAs.
引用
收藏
页码:177 / 183
页数:7
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