Int. J. of High Performance Systems Architecture   »   2017 Vol.7, No.2

 

 

Title: Capacity planning of the registration server in cloud storage

 

Authors: Rui Gu; Shunfu Jin; Haixing Wu

 

Addresses:
School of Information Science and Engineering, Yanshan University, No. 438, Hebei Avenue, Qinhuangdao, 066004, China; Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, No. 438, Hebei Avenue, Qinhuangdao, 066004, China; Science and Technology on Communication Networks Laboratory, No. 589, West Zhongshan Road, Shijiazhuang, 050081, China
School of Information Science and Engineering, Yanshan University, No. 438, Hebei Avenue, Qinhuangdao, 066004, China; Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, No. 438, Hebei Avenue, Qinhuangdao, 066004, China; Science and Technology on Communication Networks Laboratory, No. 589, West Zhongshan Road, Shijiazhuang, 050081, China
School of Information Science and Engineering, Yanshan University, No. 438, Hebei Avenue, Qinhuangdao, 066004, China; Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, No. 438, Hebei Avenue, Qinhuangdao, 066004, China; Science and Technology on Communication Networks Laboratory, No. 589, West Zhongshan Road, Shijiazhuang, 050081, China

 

Abstract: 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.

 

Keywords: cloud storage; registration; capacity planning; system model; queueing network; optimisation algorithm.

 

DOI: 10.1504/IJHPSA.2017.10008165

 

Int. J. of High Performance Systems Architecture, 2017 Vol.7, No.2, pp.105 - 112

 

Submission date: 11 Apr 2017
Date of acceptance: 11 Jul 2017
Available online: 28 Sep 2017

 

 

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