Capacity planning of the registration server in cloud storage

被引：0
作者：
Gu R. [1 ,2 ,3 ]
Jin S. [1 ,2 ,3 ]
Wu H. [1 ,2 ,3 ]
机构：
[1] School of Information Science and Engineering, Yanshan University, No. 438, Hebei Avenue, Qinhuangdao
[2] Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, No. 438, Hebei Avenue, Qinhuangdao
[3] Science and Technology on Communication Networks Laboratory, No. 589, West Zhongshan Road, Shijiazhuang
来源：
Jin, Shunfu (jsf@ysu.edu.cn) | 2017年 / Inderscience Publishers, 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland卷 / 07期
基金：
中国国家自然科学基金;
关键词：
Capacity planning; Cloud storage; Optimisation algorithm; Queueing network; Registration; System model;
D O I：
10.1504/IJHPSA.2017.087183
中图分类号：
学科分类号：
摘要：
Cloud storage is one of the key services in cloud computing. In order to appeal more users to the cloud storage, free cloud experience is provided to potential users. A registration server is set specially for intentional users who are satisfied with the free experience and want to register as very important persons (VIPs). In order to mathematically evaluate the system performance and optimally plan the registration server, we establish a queueing network-based system model. We analyse the steady-state distribution of the system model and derive the performance measures of the system in terms of the average response time of potential users and the utilisation of registration server. For balancing different performance measures, we establish a cost function and develop an optimisation algorithm to plan the capacity of the registration server with a reasonable service rate. © Copyright 2017 Inderscience Enterprises Ltd.
引用
收藏
页码：105 / 112
页数：7
相关论文
共 17 条
  • [1] Chen Y., Kurose J., Towsley D., A simple queueing network model of mobility in a campus wireless network, S3 2011: The 3rd ACM Workshop on Wireless of the Students, by the Students, for the Students, pp. 5-8, (2011)
  • [2] Gandomi A., Yang X., Chaotic bat algorithm, Journal of Computational Science, 5, 2, pp. 224-232, (2014)
  • [3] Gross D., Shortie J., Thompson J., Fundamentals of Queueing Theory, (2013)
  • [4] Jain M., Chauhan D., Working vacation queue with second optional service and unreliable server, International Journal of Engineering Transactions B Applications, 25, 3, pp. 223-230, (2012)
  • [5] Jeganathan K., Kathiresan J., Anbazhagan N., A retrial inventory system with priority customers and second optional service, Opsearch, 53, 4, pp. 808-834, (2016)
  • [6] Kim H., Park J., Jeong Y., Human-centric storage resource mechanism for big data on cloud service architecture, Journal of Supercomputing, 72, 7, pp. 2437-2452, (2016)
  • [7] Kwon E., Kang J., Ko S., An (s, S) inventory model with level-dependent G/M/1-type structure, Journal of Industrial & Management Optimization, 12, 2, pp. 609-624, (2016)
  • [8] Lin X., Qiu Z., Guan M., Optimal fee charge for VIP members under advertising and payment mixed business models of video sites, ICSSSM 2016: International Conference on Service System and Service Management, pp. 1-3, (2016)
  • [9] Liu C., Zhang X., Yang C., Authorized public auditing of dynamic big data storage on cloud with efficient verifiable fine-grained updates, IEEE Transactions on Parallel and Distributed Systems, 25, 9, pp. 2234-2244, (2014)
  • [10] Nassima B., Nacer E., Samir A., Resource management policies to increase provider's gain in a cloud coalition, International Journal of Grid and Utility Computing, 7, 2, pp. 163-176, (2016)
12