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More Reliable Cloud Systems- A System Accounting Approach

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dc.contributor.author Wu, Zhengping en_US
dc.contributor.author Chu, Nailu en_US
dc.contributor.author Su, Peng en_US
dc.date.accessioned 2014-07-16T16:47:51Z
dc.date.available 2014-07-16T16:47:51Z
dc.date.issued 2012 en_US
dc.identifier.citation Poster 34 en_US
dc.identifier.other cba7b055-3c30-23f2-725f-0ba140c12f26 en_US
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/648
dc.description Cloud computing has attracted more and more attention and has been used in more and more applications in many different fields. As we know, cloud computing delivers computing as a service. Its adoption widely depends upon the reliability of its systems. However, self-monitoring and adaptation are overlooked by most system designers and architects. Extant system accounting functionalities mainly focus on recent error causes, which is insufficient for long-term history analysis and event prediction. Our approach not only analyzes system events from both service consumers and providers, but also provides a layered composable system accounting framework in cloud computing environments. By self-monitoring, history analysis, event prediction and recovery, a new refined quality of reliability (QoR) for cloud computing is essentially provided. An implementation of this framework in an education services environment confirms the advantages over extant system accounting systems. en_US
dc.subject Faculty research day en_US
dc.title More Reliable Cloud Systems- A System Accounting Approach en_US
dc.type Presentation en_US
dc.institute.department School of Engineering en_US
dc.institute.name University of Bridgeport en_US
dc.event.name Faculty Research Day en_US


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