A mobile edge computing-based applications execution framework for Internet of Vehicles

Mobile edge computing (MEC) is a promising technology for the Internet of Vehicles, especially in terms of application offloading and resource allocation. Most existing offloading schemes are sub-optimal, since these offloading strategies consider an application as a whole. In comparison, in this pa...

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Bibliographic Details
Published in:Frontiers of Computer Science Vol. 16; no. 5; p. 165506
Main Authors: WU, Libing, ZHANG, Rui, LI, Qingan, MA, Chao, SHI, Xiaochuan
Format: Journal Article
Language:English
Published: Beijing Higher Education Press 01-10-2022
Springer Nature B.V
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Summary:Mobile edge computing (MEC) is a promising technology for the Internet of Vehicles, especially in terms of application offloading and resource allocation. Most existing offloading schemes are sub-optimal, since these offloading strategies consider an application as a whole. In comparison, in this paper we propose an application-centric framework and build a finer-grained offloading scheme based on application partitioning. In our framework, each application is modelled as a directed acyclic graph, where each node represents a subtask and each edge represents the data flow dependency between a pair of subtasks. Both vehicles and MEC server within the communication range can be used as candidate offloading nodes. Then, the offloading involves assigning these computing nodes to subtasks. In addition, the proposed offloading scheme deal with the delay constraint of each subtask. The experimental evaluation show that, compared to existing non-partitioning offloading schemes, this proposed one effectively improves the performance of the application in terms of execution time and throughput.
Bibliography:Document received on :2020-08-23
directed acyclic graph
offloading
mobile edge computing
Document accepted on :2021-01-08
application partition
Internet of Vehicles
ISSN:2095-2228
2095-2236
DOI:10.1007/s11704-021-0425-6