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
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 50 条
  • [41] Server Cloud Scheduling
    Maack, Marten
    Heide, Friedhelm Meyer Auf Der
    Pukrop, Simon
    ALGORITHMICA, 2024, 86 (04) : 1210 - 1245
  • [42] Server Cloud Scheduling
    Marten Maack
    Friedhelm Meyer auf der Heide
    Simon Pukrop
    Algorithmica, 2024, 86 : 1210 - 1245
  • [43] WGCap: a synthetic trace generation tool for capacity planning of virtual server environments
    Galindo, Hugo E. S.
    Guedes, Erica A. C.
    Maciel, Paulo R. M.
    Silva, Bruno
    Galdino, Sergio M. L.
    IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2010), 2010,
  • [44] Economic models for cloud service markets: Pricing and Capacity planning
    Pal, Ranjan
    Hui, Pan
    THEORETICAL COMPUTER SCIENCE, 2013, 496 : 113 - 124
  • [45] Cloud Capacity Planning and HSI based Optimal Resource Provisioning
    Sadashiv, Naidila
    Kumar, Dilip S. M.
    Goudar, R. S.
    PROCEEDINGS OF THE 2017 IEEE SECOND INTERNATIONAL CONFERENCE ON ELECTRICAL, COMPUTER AND COMMUNICATION TECHNOLOGIES (ICECCT), 2017,
  • [46] Elasticity management for capacity planning in software as a service cloud computing
    Stauffer, Jon M.
    Megahed, Aly
    Sriskandarajah, Chelliah
    IISE TRANSACTIONS, 2021, 53 (04) : 407 - 424
  • [47] Finite population task oriented queuing: A model for Internet server capacity planning
    Lackman, R
    Li, SJ
    2001 INTERNATIONAL CONFERENCE ON COMPUTER NETWORKS AND MOBILE COMPUTING, PROCEEDINGS, 2001, : 217 - 222
  • [48] Capacity Planning for Telecom Operation Support System Cloud Migration
    Wang, Jinru
    Song, Meina
    Chang, Qian
    Shu, Qin
    HUMAN CENTERED COMPUTING, HCC 2014, 2015, 8944 : 427 - 440
  • [49] Capacity credit of storage in long-term planning models and capacity markets
    Mertens, Tim
    Bruninx, Kenneth
    Duerinck, Jan
    Delarue, Erik
    ELECTRIC POWER SYSTEMS RESEARCH, 2021, 194
  • [50] Model and Method of Capacity Planning of Energy Storage Capacity for Integrated Energy Station
    Bian, Bin
    Du, Zhihuan
    Hao, Cheng
    Wu, Hongwei
    Yan, Longfei
    Hou, Zan
    Chen, Yu
    2022 4TH ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM (AEEES 2022), 2022, : 410 - 415