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：

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分析 CSP 可信度并预测云服务性能。


分析公司 Cyence 估计，亚马逊 2017 年长达四小时的云计算中断“让标准普尔 500 强公司损失了至少 1.5 亿美元”，流量监控公司 Apica 声称“前 100 名在线零售商中有 54 家的网站性能下降了至少 20%”。据 Ponemon 称，2015 年数据中心中断给财富 1000 强公司造成了 1.25 至 25 亿美元的损失。尽管存在潜在风险，云计算行业仍在持续增长。例如，物联网预计在 2013 年至 2020 年间将增长 266%，随着多个行业的数据被收集并发回云数据中心进行处理，物联网将推动对云计算的需求增加。 RightScale 估计企业将继续增加云需求，其中 85% 的企业制定了多云策略。这种增长和依赖性将影响风险暴露和潜在影响（例如可用性、性能、安全性、财务）。本文的研究和提出的解决方案计算云服务提供商 (CSP) 的可信度级别，并预测云服务和云服务级别协议 (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，将利用不断发展的云 SLA 行业标准（例如 NIST、ISO/IEC）以及有关 CSP 可信度的现有工作。