Abstract
The past decade has witnessed the rapid development of cloud computing. Virtualization, which is the fundamental technique in providing Infrastructure as a Service (IaaS), has led to an explosive growth of the cloud computing industry. Fault-tolerance is a significant requirement of cloud computing due to the Service Level Agreements (SLA). In order to achieve high reliability and resilience of real-time systems in virtualized clouds, a Virtualization-based Fault-Tolerant Scheduling (VFTS) algorithm is proposed. In this paper, fault tolerance is implemented by using primary-backup approach. VFTS is designed for periodic and preemptive tasks in homogeneous environment. Simulation results demonstrate an impressing saving of processing resources compared with those needed by the dual-system hot backup approach, which proves the feasibility and effectiveness of the proposed VFTS algorithm.
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Acknowledgment
This work was supported in part by the National Natural Science Foundation of China under Grant No. 61332010.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Guo, P., Xue, Z. (2018). Real-Time Fault-Tolerant Scheduling Algorithm in Virtualized Clouds. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-66628-0_42
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DOI: https://doi.org/10.1007/978-3-319-66628-0_42
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