Service reliability modeling and evaluation of active-active cloud data center based on the IT infrastructure |
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| Affiliation: | 1. School of Reliability and Systems Engineering, Beihang University, Beijing, China;2. Science and Technology on Reliability and Environmental Engineering Laboratory, Beihang University, Beijing, China;3. Data Center of China Life Insurance Company Ltd., Beijing, China;1. SEES, Depto. de Ingeniería Eléctrica, CINVESTAV-IPN, Av. IPN 2208, C.P. 07360 México City, Mexico.;2. Micro and Nanotechnology Research Centre, Universidad Veracruzana. Calzada Ruiz Cortines No. 455, Col. Costa Verde, C.P. 94294 Boca del Río, Veracruz, Mexico.;3. Materials Science and Engineering Department, University of Texas at Dallas, Richardson, TX 75080, United States;1. School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China;2. Science and Technology on Reliability and Environmental Engineering Laboratory, Beijing 100191, China;1. National Key Laboratory of Micro/Nano Fabrication Technology, Shanghai Jiao Tong University, Shanghai 200240, China;2. Test&Package (TP) Center, Samsung Electronics Co., Ltd., Asan-City 31489, Republic of Korea;1. Department of Mechanical System Engineering, Kumoh National Institute of Technology, 61 Daehak-ro, Gumi, Gyeongbuk 39177, Republic of Korea;2. Nano-Convergence Mechanical Systems Research Division, Korea Institute of Machinery & Materials, 156 Gajeongbuk-ro, Daejeon 34103, Republic of Korea;1. Science and Technology on Reliability Physics and Application Technology of Electronic Component Laboratory, Guangzhou 510610, China;2. State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China |
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| Abstract: | As cloud data center has caught the eye of the information-intensive society since its birth, it keeps on a flourishing development due to its advantages such as high availability and resource utilization, rapid elasticity and disaster recovery. However, as a complex system, it means the centralization of failures and risks, which exerts great influence on the service that cloud data center provides to customers. Thus, the service reliability of the cloud data center is always a key concern. In order to evaluate and further improve the service reliability of the cloud data center, modeling analysis is absolutely necessary but difficult to apply because of the complicated cloud control flows, massive-scale service sharing and complex real-world infrastructures. Focused on the active-active data center, which is a typical mode of the cloud data center, a methodology of the service reliability modeling and analysis based on IT infrastructure is proposed. In this methodology, the queuing theory and graph theory are used to formulate the service reliability model, but the Monte Carlo simulation is used for statistical evaluation. During the modeling, the operational process of the active-active data center is divided into two parts—the request stage and execution stage, which are modeled respectively. Then, the modeling and evaluation approaches are applied in a use case, which verifies the applicability and creditability of our approach. Meanwhile, by sensitivity analysis considering the variation of uncertain or key factors both internal and external, several parameters are identified as high-sensitive factors, which can enlighten service providers on service reliability improvement. |
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