Task Offloading in Multi-Hop Relay-Aided Multi-Access Edge Computing

doi:10.1109/TVT.2022.3204398

Task Offloading in Multi-Hop Relay-Aided Multi-Access Edge Computing

2023-01-01

14

PRE

AI

DOI：10.1109/TVT.2022.3204398

Original

Original request for help

Save

Abstract

En 中文

As demands for multi-access edge computing (MEC) increase exponentially, resource limitations at individual edge servers (ESs) will inevitably become bottlenecks. Most existing works largely ignore spot access spectrum resource availability when considering computing cooperation among ESs. In this paper, we present a general cooperative MEC framework to enable network-wide cooperation of ESs by leveraging a multi-hop task relaying strategy. Under this framework, we can maximize overall throughput (task completion rate) by balancing the workload for both spot communication and computing through task routing. To address the problem, we formulate an optimization problem and apply matching theory to find a task offloading scheme with low-complexity. Finally, we conduct numerical analysis to show the effectiveness of our proposed scheme and the superiority of our multi-hop relay-assisted MEC systems.

Keywords:

Computation offloading

end-to-end latency

Index Terms

multi-access edge computing (MEC)

relay

throughput maximization

Task Offloading in Multi-Hop Relay-Aided Multi-Access Edge Computing

Abstract

Journal

Organization