Abstract
Currently, telecom operators are relying on cloud computing technologies to build a unified resource management platform. After the operation support system migrates to the cloud platform, the servers’ capacity planning is the key to ensure the performance of the system can meet customer’s requirements. We will do server capacity planning in this paper. This paper comes up with a method for capacity planning according to the features of telecom operation support system. On the one hand, considering that the system has different subsystems for various functions, we research the subsystems of operation support system separately; on the other hand, considering that system architecture is multi-layered, we research the system at web layer, application layer, data layer and storage layer, and do the capacity planning for each layer’s server. In the process of cloud migration, different subsystems and different layer of the system use different cloud computing technologies. We analyze different cloud computing technologies and put forward corresponding capacity planning methods.
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References
Chen, G.: Cloud Computing Research. Network Security Technology and Application (2012)
Li, D., Zhang, T., Huang, L.: A Down-to-Earth Cloud Computing. Location-Based Service. Acta Electronica Sinica 42(8) (2007)
Wu, S.: Cloud Computing Applications and Development Research for European Governments. Telecommunications Network Technology (4) (2014)
Zhou, Z.: Cloud Computing Service Platform Virtual Machine Capacity Planning Studies. Telecommunications Network Technology (5)
Wang, Y., Wang, H., Liu, B.: Multilayer Cluster of Servers Available Performance Evaluation. Computer Engineering and Science 29(8) (2007)
Allspaw, J.: Fei Ye and Jianghua Luo translated: Art of Web Capacity Planning, pp. 28–35, pp. 105–118. O’Reilly Media, Inc. Authorized Mechanical Industry Publishing
Luo, J., He, M.: Discussion on the Capacity Planning of Website Construction Issues. Fujian Computers, the first phase in (2004)
Wang, Y., Zeng, K., Zeng, B., Jiang, X., Yang, H.: Capacity Planning Application and Research in Electronic Commerce System. Computer Science 32(9A) (2005)
Xu, X., Xu, T., Yin, Y.: The Web Server Performance Evaluation Method Based on Response Time. Mini-Micro Systems (1) (2013)
Liu, L., Qu, P.: Based on the Performance of Web Server TPC-W Benchmarks. Computer Engineering and Design 29(11) (2008)
Jin, S.: Research on J2EE Application Server Performance Optimization Methods. China Technology and New Products (1) (2010)
Xie, J., Yang, X., Liu, J., Ye, X., Wang, J.: The Key Technology of TPC-App Benchmarking Tool. Journal of Computer Research and Development, 131–135 (2007)
Xu, W.: TPC-C Test Applications in the Computer System Capacity Planning. Electronic Technology, 130,021
Cao, R.: Research on Cloud Storage Server Performance Optimization and Reliability Technologies. Master’s Thesis (2012)
Wang, Y., Wang, H., Liu, B.: Research on the Heuristics of Capacity Planning for Multi––Tier Server Clusters [A]. Computer Engineering & Science 29(5) (2007)
Zhou, A., Cheng, G.: Analysis of Network Behavior Characteristics and the Impact Factor Based on the Peak Flow. Journal of Communication 33(10) (2012)
VMware vFabric Reference Architecture Capacity Planning and Performance (2013)
Ou, C., Li, X.: The Web Server Performance Evaluation. Computer Research and Development 5 (2002)
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Wang, J., Song, M., Chang, Q., Shu, Q. (2015). Capacity Planning for Telecom Operation Support System Cloud Migration. In: Zu, Q., Hu, B., Gu, N., Seng, S. (eds) Human Centered Computing. HCC 2014. Lecture Notes in Computer Science(), vol 8944. Springer, Cham. https://doi.org/10.1007/978-3-319-15554-8_35
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DOI: https://doi.org/10.1007/978-3-319-15554-8_35
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