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Analyzing CSP Trustworthiness and Predicting Cloud Service Performance
IEEE Open Journal of the Computer Society ( IF 5.7 ) Pub Date : 2020-05-11 , DOI: 10.1109/ojcs.2020.2994095
Robert Maeser

Analytics firm Cyence estimated Amazon's four-hour cloud computing outage in 2017 “cost S&P 500 companies at least $150 million” and traffic monitoring firm Apica claimed “54 of the top 100 online retailers saw site performance slump by at least 20 percent”. According to Ponemon, 2015 data center outages cost Fortune 1000 companies between $1.25 and $2.5 billion. Despite potential risks, the cloud computing industry continues to grow. For example, Internet of Things, which is projected to grow 266% between 2013 and 2020, will drive increased demand on cloud computing as data across multiple industries is collected and sent back to cloud data centers for processing. RightScale estimates enterprises will continue to increase cloud demand with 85% having multi-cloud strategies. This growth and dependency will influence risk exposure and potential for impact (e.g. availability, performance, security, financial). The research in this paper and proposed solution calculates cloud service provider (CSP) trustworthiness levels and predicts cloud service and cloud service level agreement (SLA) availability performance. Evolving industry standards (e.g. NIST, ISO/IEC) for cloud SLAs and existing work regarding CSP trustworthiness will be leveraged as regression-based predictive models are constructed to analyze CSP cloud computing services, SLA performance and CSP trustworthiness.

中文翻译:

分析CSP可信度并预测云服务性能

分析公司Cyence估计,亚马逊在2017年四小时的云计算中断“使标普500公司损失至少1.5亿美元”,流量监控公司Apica声称“前100名在线零售商中的54家的网站性能下降了至少20%”。根据Ponemon的调查,2015年数据中心中断使《财富》 1000强公司的损失在1.25美元至25亿美元之间。尽管存在潜在风险,但云计算行业仍在继续增长。例如,物联网(预计在2013年至2020年之间增长266%)将推动对云计算的需求增加,因为跨行业的数据将被收集并发送回云数据中心进行处理。RightScale估计企业将继续增加云需求,其中有85%的企业采用了多云策略。这种增长和依赖性将影响风险敞口和潜在影响(例如可用性,性能,安全性,财务)。本文和提出的解决方案中的研究计算了云服务提供商(CSP)的可信度,并预测了云服务和云服务等级协议(SLA)的可用性性能。随着构建基于回归的预测模型来分析CSP云计算服务,SLA性能和CSP可信度,将利用不断发展的行业标准(例如NIST,ISO / IEC)和有关CSP可信度的现有工作。本文和提出的解决方案中的研究计算了云服务提供商(CSP)的可信度,并预测了云服务和云服务等级协议(SLA)的可用性性能。随着构建基于回归的预测模型来分析CSP云计算服务,SLA性能和CSP可信度,将利用不断发展的行业标准(例如NIST,ISO / IEC)和有关CSP可信度的现有工作。本文和提出的解决方案中的研究计算了云服务提供商(CSP)的可信度,并预测了云服务和云服务等级协议(SLA)的可用性性能。随着构建基于回归的预测模型来分析CSP云计算服务,SLA性能和CSP可信度,将利用不断发展的行业标准(例如NIST,ISO / IEC)和有关CSP可信度的现有工作。
更新日期:2020-06-23
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