Evaluation Model of the Cloud Systems Based on Queuing Petri Net

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• 关键词：Cloud system ; Queuing theory ; Petri net ; Queuing petri net ; Evaluation model
• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：9532
• 期：1
• 页码：413-423
• 全文大小：3,853 KB
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• 作者单位：Yangjie Cao (17)
  Huimin Lu (18)
  Xiaodong Shi (19)
  Pengsong Duan (17)
  
  17. School of Software Technology, Zhengzhou University, No. 97, Wenhua Rd., Jinshui, 450000, Zhengzhou, People’s Republic of China
  18. School of Computer Science and Engineering, Changchun University of Technology, No. 2055, Yanán Rd., Changchun, 130012, People’s Republic of China
  19. School of E-Commerce and Logistics Management, Henan University of Economics and Law, No. 80, Wenhua Road, Jinshui, 450000, Zhengzhou, People’s Republic of China
  
• 丛书名：Algorithms and Architectures for Parallel Processing
• ISBN：978-3-319-27161-3
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Cloud system is difficult to be modeled and evaluated due to its large scale, complex structures, outstanding dynamics, and strong correlations among layers. Aiming to solve this problem, an evaluation model of cloud system is proposed based on queuing Petri net (QPNC). QPNC can effectively model and simulate complex cloud systems due to its strong capabilities of quantitative evaluation and behavioral description resulting from combining the theoretical characteristics of queuing theory and Petri net. On the basis of the model, we further improve the quantitative analysis and evaluation system of cloud system, and simulated a cloud system with dynamic service under a massively parallel environment. Experimental results show that QPNC is able to effectively reflect the architecture characteristics of various cloud system at the perspectives of performance, service, etc., and highly simulated various kinds of dynamic service behaviors of cloud systems.