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Published on: August 26, 2018
A comprehensive availability modeling and analysis of a virtualized servers system using stochastic reward nets.
Tuan Anh Nguyen1, Dong Seong Kim2, Jong Sou Park1
1Department of Computer Engineering, Korea Aerospace University, 76 Hanggongdaehang-ro, Deogyang-gu, Goyang-si, Gyeonggi-do 412-791, Republic of Korea.
This study introduces a comprehensive availability model for virtual systems, enhancing IT infrastructure reliability. It reveals that strategic software rejuvenation of virtual machines and monitors boosts system availability.
Area of Science:
- Computer Science
- Information Technology
- System Reliability Engineering
Background:
- Previous availability models for virtual systems used simplified configurations with single virtual machines (VMs) per virtual machine monitor (VMM).
- These models did not account for complex failure behaviors, diverse fault types, or interdependencies within virtualised server systems.
Purpose of the Study:
- To develop a comprehensive availability model for virtualised systems that addresses limitations of prior work.
- To analyze the impact of multiple VM failures, diverse fault modes (hardware, software bugs, aging), and component dependencies on system availability.
Main Methods:
- Utilized stochastic reward nets (SRN) to construct a detailed availability model for virtualised server environments.
- Incorporated failure and recovery behaviors of multiple VMs, VMM, and physical hosts, including specific fault types like Mandelbugs and aging-related issues.
- Performed numerical analysis to evaluate steady-state availability, annual downtime, transaction loss, and sensitivity.
Main Results:
- The comprehensive SRN model accurately captures the complex dynamics of virtualised system failures and recoveries.
- Analysis identified key factors influencing system availability, including VM/VMM software rejuvenation and hardware fault tolerance.
- Demonstrated that a combined, strategic approach to software rejuvenation at both VM and VMM levels significantly enhances overall system availability.
Conclusions:
- The developed SRN model offers a more realistic and detailed assessment of virtualised system availability compared to previous simplified approaches.
- Findings provide actionable insights for IT infrastructure management, emphasizing the importance of considering diverse failure modes and component dependencies.
- Strategic software rejuvenation is a critical technique for improving the resilience and availability of modern virtualised IT infrastructures.
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