Maintenance reliability estimation for a cloud computing network with nodes failure

被引:40
|
作者
Lin, Yi-Kuei [1 ]
Chang, Ping-Chen [1 ]
机构
[1] Natl Taiwan Univ Sci & Technol, Dept Ind Management, Taipei 106, Taiwan
关键词
Maintenance reliability; Node failure; Cloud computing network (CCN); Estimation; Multiple minimal paths; QUICKEST PATH PROBLEM; STOCHASTIC-FLOW NETWORK; MULTISTATE COMPONENTS; COST CONSTRAINT; ALGORITHM; SYSTEMS; TERMS;
D O I
10.1016/j.eswa.2011.04.230
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The cloud computing network (CCN) has become a new paradigm for the business and clients as the development of information technology. To guarantee the CCN keep a good quality of service (QoS), the maintenance action is necessary when the CCN falls to a specific state such that it cannot afford enough capacity to meet demand d. In the CCN, edges and nodes have various capacities due to failure, partial failure, or maintenance: thus, the CCN has several possible states. This paper proposes an algorithm to estimate the performance of a CCN under maintenance budget with nodes failure. Hence, the maintenance reliability is developed to measure the capability that the CCN can send d units of data from the cloud to the client through multiple paths under the maintenance budget and time constraints. Furthermore, the system supervisor can conduct the sensitive analysis to improve/investigate the most important part in a large CCN afterwards. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:14185 / 14189
页数:5
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