TY - GEN
T1 - Service reliability modeling of the IT infrastructure of active-Active cloud data center
AU - Liu, Yue
AU - Li, Xiaoyang
AU - Kang, Rui
AU - Xiao, Lianghua
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/16
Y1 - 2017/1/16
N2 - With the increasing use in different areas, cloud data center has gradually showed its superiority in availability, resource utilization and disaster recovery during the service delivery, compared with traditional data center. According to SLA (Service-Level Agreement), the demand on service reliability and other related indexes are put forward. Despite efforts at fault tolerance and redundancy, the occurrence of failure in data center is still inevitable. Hence, there is a need to model and analyze the service reliability of data center. However, traditional method of reliability modeling is no longer applicable because of the complicated cloud control flows, massive-scale service sharing, and complexity real-word infrastructures. This paper proposes a new approach to model the service reliability of the IT infrastructure of active-Active data center, which is a typical form of cloud data center. Firstly, we divide the process of service delivery into two stages-The request stage and execution stage. Then, two models are built for two stages, respectively. For request stage, we use the Queuing Theory and Monte Carlo Method while for execution stage, the Graph Theory and Monte Carlo Method are adopted. Based on the proposed model, the service reliability of data center can be calculated. With the data of a company active-Active data center as a case study, we finally demonstrate the applicability and correctness of the model.
AB - With the increasing use in different areas, cloud data center has gradually showed its superiority in availability, resource utilization and disaster recovery during the service delivery, compared with traditional data center. According to SLA (Service-Level Agreement), the demand on service reliability and other related indexes are put forward. Despite efforts at fault tolerance and redundancy, the occurrence of failure in data center is still inevitable. Hence, there is a need to model and analyze the service reliability of data center. However, traditional method of reliability modeling is no longer applicable because of the complicated cloud control flows, massive-scale service sharing, and complexity real-word infrastructures. This paper proposes a new approach to model the service reliability of the IT infrastructure of active-Active data center, which is a typical form of cloud data center. Firstly, we divide the process of service delivery into two stages-The request stage and execution stage. Then, two models are built for two stages, respectively. For request stage, we use the Queuing Theory and Monte Carlo Method while for execution stage, the Graph Theory and Monte Carlo Method are adopted. Based on the proposed model, the service reliability of data center can be calculated. With the data of a company active-Active data center as a case study, we finally demonstrate the applicability and correctness of the model.
KW - Cloud data center
KW - Graph theory
KW - Modeling and simulation
KW - Monte carlo
KW - Queuing theory
KW - Service reliability
UR - https://www.scopus.com/pages/publications/85015621446
U2 - 10.1109/PHM.2016.7819903
DO - 10.1109/PHM.2016.7819903
M3 - 会议稿件
AN - SCOPUS:85015621446
T3 - Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016
BT - Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016
A2 - Miao, Qiang
A2 - Li, Zhaojun
A2 - Zuo, Ming J.
A2 - Xing, Liudong
A2 - Tian, Zhigang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016
Y2 - 19 October 2016 through 21 October 2016
ER -