By Prasad Yarlagadda, Yun-Hae Kim
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Shafiee and A. Dadlani: Computer Communications 35 (2012) 170-178. F. Quet and H. Özbay: IEEE Transactions on Automatic Control 49 (2004) 1031-1036.  L. Tan, W. Zhang, G. Peng and G. Chen: IEEE Transactions on Automatic Control 51 (2006) 1393-1398.  Q. W. Yang: IEEE Transactions on Automatic Control 52 (2007) 938-943.  F. Zheng and John Nelson: Automatica 45 (2009) 757 -763.  M. H. beheshti and B. Tavassoli: Proceedings of American Control Conference (2013) 2728-2732.  Z. Huang, Q.
8 and 9, before deploying a SaaS or PaaS environment on a large scale or a third-party PaaS or IaaS environment, through small-scale sample testing, based on the result of quantify and evaluate the availability of cloud service providers, we can make relatively accurate assessment and business decisions. 16 Computers and Information Processing Technologies I Conclusions This paper systematically defines and analyzes the availability of cloud service from the perspective of hierarchical architecture model.
Obviously, the probability of m AU fails at the same time is 1 − . Thus, AS can provide . maximum availability 1 − 1 − Since 0 ≤ ≤ 1, it can be proved by mathematical induction: 1 − 1 − ≥ . Thus, a single AS availability is greater than any single AU can offer. DA availability of AU and AS. This paper argues that the actual availability of a cloud service depends on its underlying service infrastructure’s availability. For example, if a PaaS service is deployed on a public cloud IaaS. The actual availability of the PaaS service is changing along with the availability of the IaaS service.
Computers and Information Processing Technologies I by Prasad Yarlagadda, Yun-Hae Kim