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A generalized petri net-based modeling framework for service reliability evaluation and management of cloud data centers

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  • Li, Xiao-Yang
  • Liu, Yue
  • Lin, Yan-Hui
  • Xiao, Liang-Hua
  • Zio, Enrico
  • Kang, Rui

Abstract

A cloud data center is a critical infrastructure whose service reliability is relevant for service delivery. Constituting the carrier of service for cloud computing, the IT architecture of a cloud data center plays an important role, since it directly relates to service reliability. However, most existing research focuses only on the connectivity of the IT architecture and on service considering only the processing procedure. In order to bridge the gap between the existing works and reality, a hierarchical colored generalized stochastic petri net is proposed to evaluate the service reliability by Monte Carlo simulation, which comprehensively considers the connectivity and performance of the IT architecture and the dynamic of service delivery. The modeling and simulation framework is applied to the cloud data center of an insurance company and cost-effective strategies are found to support the configuration, operation and maintenance of the cloud data center.

Suggested Citation

  • Li, Xiao-Yang & Liu, Yue & Lin, Yan-Hui & Xiao, Liang-Hua & Zio, Enrico & Kang, Rui, 2021. "A generalized petri net-based modeling framework for service reliability evaluation and management of cloud data centers," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    • Handle: RePEc:eee:reensy:v:207:y:2021:i:c:s095183202030870x
    DOI: 10.1016/j.ress.2020.107381
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    References listed on IDEAS

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    1. Gustavo Callou & João Ferreira & Paulo Maciel & Dietmar Tutsch & Rafael Souza, 2014. "An Integrated Modeling Approach to Evaluate and Optimize Data Center Sustainability, Dependability and Cost," Energies, MDPI, vol. 7(1), pages 1-40, January.
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    3. Tuan Anh Nguyen & Dugki Min & Jong Sou Park, 2015. "A Comprehensive Sensitivity Analysis of a Data Center Network with Server Virtualization for Business Continuity," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-20, October.
    4. Sheng, Jingyu & Prescott, Darren, 2017. "A hierarchical coloured Petri net model of fleet maintenance with cannibalisation," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 290-305.
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    Cited by:

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    2. Chiachío, Manuel & Saleh, Ali & Naybour, Susannah & Chiachío, Juan & Andrews, John, 2022. "Reduction of Petri net maintenance modeling complexity via Approximate Bayesian Computation," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    3. Bensaci, Chaima & Zennir, Youcef & Pomorski, Denis & Innal, Fares & Lundteigen, Mary Ann, 2023. "Collision hazard modeling and analysis in a multi-mobile robots system transportation task with STPA and SPN," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
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    5. Zhou, Jianfeng & Reniers, Genserik, 2022. "Petri-net based cooperation modeling and time analysis of emergency response in the context of domino effect prevention in process industries," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    6. Li, Xianxiong & Lan, Xinbo & Mirzaei, A & Aghdam Bonab, Mohammad Jalilvand, 2022. "Reliability and robust resource allocation for Cache-enabled HetNets: QoS-aware mobile edge computing," Reliability Engineering and System Safety, Elsevier, vol. 220(C).

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