Abstract
Multi-Access Edge Computing (MEC), making computing resources extend to the edge continuously, plays a key role in 5G (Fifth Generation) networks. User Plane Function (UPF), as an important network function, can steer the traffic to the MEC applications and 5G core network in the integration of MEC and 5G architecture. Edge UPF (EUPF) runs in a virtual machine (VM) hosted by a virtual machine monitor (VMM) at the edge of the network. However, EUPF is likely to suffer more frequent network attacks than in the core network. The vulnerability of the virtualized environment itself also expands the attack surface for adversaries. Security protection of EUPF is urgently needed. Rejuvenation techniques play a key role in defense and service recovery. The existing researches focused on the deployment of EUPF and ignored the dependability analysis of EUPF service.
In this paper, we construct the continuous time Markov model to capture the behaviors of the EUPF service system deploying rejuvenation techniques for recovery. We also derive the formulas for computing transient availability and steady-state availability of EUPF service, EUPF service’s first failure time and the mean time to failure (MTTF). Finally, we find that VMM recovery ability has an obvious impact on transient and steady-state availability and VM defense ability has a great influence on MTTF. Both transient analysis and steady-state analysis of the EUPF service are carried out to help EUPF service providers provide stable and robust EUPF services.
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This research was supported by the National Natural Science Foundation of China under Grant U1836105.
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Zhu, H., Bai, J., Chang, X., Mišić, J., Mišić, V., Yang, Y. (2020). Stochastic Model-Based Quantitative Analysis of Edge UPF Service Dependability. In: Qiu, M. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2020. Lecture Notes in Computer Science(), vol 12453. Springer, Cham. https://doi.org/10.1007/978-3-030-60239-0_42
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DOI: https://doi.org/10.1007/978-3-030-60239-0_42
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