Analytics firm Cyence estimated Amazon’s four-hour cloud computing outage on February 28, 2017 “cost S&P 500 companies at least $150 million” (Condliffe 2017) and traffic monitoring firm Apica claimed “54 of the top 100 online retailers saw site performance slump by at least 20 percent” (Condliffe 2017). 2015 data center outages cost Fortune 1000 companies between $1.25 and $2.5 billion (Ponemon 2017). 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 (MacGillivray et al. 2017), will drive increased demand and dependency on cloud computing as data across multiple industries is collected and sent back to cloud data centers for processing. Enterprises continue to increase demand and dependency with 85% having multi-cloud strategies, up from 2016 (RightScale 2017a). This growth and dependency will influence risk exposure and potential for impact (e.g. availability, reliability, performance, security, financial). The research in this Praxis and proposed solution focuses on calculating cloud service provider (CSP) trustworthiness based on cloud service level agreement (SLA) criteria and predicting cloud SLA availability performance for cloud computing services. Evolving industry standards for cloud SLAs (EC 2014, Hunnebeck et al. 2011, ISO/IEC 2016, NIST 2015, Hogben, Giles and Dekker 2012) and existing work regarding CSP trustworthiness (Ghosh, Ghosh and Das 2015, Taha et al. 2014) will be leveraged as the predictive model (using Linear Regression Analysis) is constructed to analyze CSP cloud computing service, SLA performance and CSP trustworthiness.
|Advisor:||Young, Stuart, Bersson, Thomas|
|Commitee:||Etemadi, Amirhossein, Lowery, Craig, Malalla, Ebrahim, Young, Stuart|
|School:||The George Washington University|
|School Location:||United States -- District of Columbia|
|Source:||DAI-B 79/08(E), Dissertation Abstracts International|
|Subjects:||Information Technology, Engineering, Computer science|
|Keywords:||Cloud computing, Cloud security, Cloud service provider, Predictive model, Service level agreement, Trust model|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be