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Journal of Applied Mathematics
Volume 2014 (2014), Article ID 756592, 8 pages
Research Article

Dynamic Performance Optimization for Cloud Computing Using M/M/m Queueing System

1Department of Computer Science and Engineering, Henan University of Urban Construction, Pingdingshan, Henan 467036, China
2College of Information Sciences and Technology, Donghua University, Shanghai 201620, China

Received 28 August 2013; Revised 23 January 2014; Accepted 28 February 2014; Published 30 March 2014

Academic Editor: Guangchen Wang

Copyright © 2014 Lizheng Guo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

The following is the list of published articles that have cited the current article.

  • Alaba Olu Akingbesote, Mathew Olusegun Adigun, Sibisuso Xulu, and Edgar Jembere, “Performance Modeling of Proposed GUISET Middleware for Mobile Healthcare Services in E-Marketplaces,” Journal of Applied Mathematics, vol. 2014, pp. 1–9, 2014. View at Publisher · View at Google Scholar
  • Wei-Hua Bai, Jian-Qing Xi, Jia-Xian Zhu, and Shao-Wei Huang, “Performance Analysis of Heterogeneous Data Centers in Cloud Computing Using a Complex Queuing Model,” Mathematical Problems in Engineering, vol. 2015, pp. 1–15, 2015. View at Publisher · View at Google Scholar
  • Chadi Assi, and Maurice Khabbaz, “Modelling and analysis of a novel deadline-Aware scheduling scheme for cloud computing data centers,” IEEE Transactions on Cloud Computing, vol. PP, no. 99, 2015. View at Publisher · View at Google Scholar
  • Jiangtao Zhang, Hejiao Huang, and Xuan Wang, “Resource Provision Algorithms in Cloud Computing: A Survey,” Journal of Network and Computer Applications, 2016. View at Publisher · View at Google Scholar
  • Said El Kafhali, and Khaled Salah, “Performance Analysis of Multi-Core VMs hosting Cloud SaaS Applications,” Computer Standards & Interfaces, 2017. View at Publisher · View at Google Scholar
  • Hugo Lewi Hammer, Anis Yazidi, Alfred Bratterud, Hårek Haugerud, and Boning Feng, “A Queue Model for Reliable Forecasting of Future CPU Consumption,” Mobile Networks and Applications, 2017. View at Publisher · View at Google Scholar
  • Chong Jin, Rui Kang, and Ruiying Li, “VTB-RTRRP: Variable Threshold Based Response Time Reliability Real-Time Prediction,” IEEE Access, vol. 6, pp. 60–71, 2018. View at Publisher · View at Google Scholar