Preference-Aware Computation Offloading for IoT in Multi-access Edge Computing Using Probabilistic Model Checking

Document Type

Conference Article

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract

A key cornerstone of Multi-Access Edge Computing (MEC) is an offloading policy utilized to determine whether to execute computation tasks on IoT devices or to offload the tasks to MEC servers for processing. In this work, we propose a Probabilistic Model Checking based offloading policy catering to device user preferences. We model the interactions between the various components of the MEC environment using a Turn-Based Stochastic Multi-Player Game (SMG). We present experiments on practical scenarios on data gathered from a test-bed setup with benchmark applications to show the benefits of an adaptive preference-aware approach over conventional approaches in MEC offloading.

First Page

275

Last Page

297

DOI

10.1007/978-3-031-16336-4_14

Publication Date

1-1-2022

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