Spatiotemporal Dependable Task Execution Services in MEC-enabled Wireless Systems
Mustafa Emara, Hesham ElSawy, Miltiades C. Filippou, Gerhard Bauch

TL;DR
This paper introduces a spatiotemporal framework combining stochastic geometry and Markov chains to analyze the dependability of MEC-enabled wireless systems, focusing on resource contention, task offloading, and failure mitigation.
Contribution
It presents a novel integrated framework for evaluating communication and computation dependability in MEC systems, considering resource contention and failure-prone virtual machines.
Findings
Optimal number of virtual machines maximizes task capacity.
Dependability metrics are influenced by system parameters.
Framework enables comprehensive performance evaluation.
Abstract
Multi-access Edge Computing (MEC) enables computation and energy-constrained devices to offload and execute their tasks on powerful servers. Due to the scarce nature of the spectral and computation resources, it is important to jointly consider i) contention-based communications for task offloading and ii) parallel computing and occupation of failure-prone MEC processing resources (virtual machines). The feasibility of task offloading and successful task execution with virtually no failures during the operation time needs to be investigated collectively from a combined point of view. To this end, this letter proposes a novel spatiotemporal framework that utilizes stochastic geometry and continuous time Markov chains to jointly characterize the communication and computation performance of dependable MEC-enabled wireless systems. Based on the designed framework, we evaluate the influence…
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