计算机科学
概率逻辑
服务器
分布式计算
云计算
边缘计算
水准点(测量)
GSM演进的增强数据速率
启发式
延迟(音频)
计算机网络
操作系统
人工智能
大地测量学
电信
地理
作者
Kaustabha Ray,Ansuman Banerjee
出处
期刊:IEEE Transactions on Dependable and Secure Computing
[Institute of Electrical and Electronics Engineers]
日期:2023-01-01
卷期号:20 (1): 797-812
被引量:9
标识
DOI:10.1109/tdsc.2022.3143877
摘要
The advent of Multi-Access Edge Computing (MEC) has enabled service providers to mitigate high network latencies often encountered in accessing cloud services by deploying containerized application instances on edge servers situated near end users. MEC servers are, however, susceptible to various types of failures such as communication link failures, hardware failures and so on. A fault recovery strategy determines which MEC servers to utilize to re-deploy application containers in the event of a failure. In this work, we propose a two-fold fault recovery strategy characterized by application priority. We propose a Formal Methods driven local recovery strategy for high-priority applications. We use Stochastic Multi-Player Games as a Formal Model to characterize the interactions between the different components in an MEC environment. We use objectives specified in Probabilistic Alternating-Time Temporal Logic with a Probabilistic Model Checker to derive recovery strategies considering all possible execution scenarios of the model. For lower priority applications, we resort to a global recovery strategy by designing a greedy heuristic considering each server’s failure probability. We use benchmark datasets to validate our approach. Experimental results show an average 14% reduction in latency with our approach in comparison with other state-of-the-art methods.
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