Research Article
A Multi-objective Optimization Method for Latency-Sensitive Applications in MEC-Enabled Smart Campus Using SMS-EMOA
@INPROCEEDINGS{10.1007/978-3-031-32443-7_5, author={Hanmeng Wang and Kai Peng and Bohai Zhao}, title={A Multi-objective Optimization Method for Latency-Sensitive Applications in MEC-Enabled Smart Campus Using SMS-EMOA}, proceedings={Mobile Networks and Management. 12th EAI International Conference, MONAMI 2022, Virtual Event, October 29-31, 2022, Proceedings}, proceedings_a={MONAMI}, year={2023}, month={5}, keywords={Smart Campus Mobile Edge Computing Workflow Applications Multi-Objective Optimization}, doi={10.1007/978-3-031-32443-7_5} }- Hanmeng Wang
Kai Peng
Bohai Zhao
Year: 2023
A Multi-objective Optimization Method for Latency-Sensitive Applications in MEC-Enabled Smart Campus Using SMS-EMOA
MONAMI
Springer
DOI: 10.1007/978-3-031-32443-7_5
Abstract
The Internet of Things (IoT) enables all devices to sense, communicate, which has given rise to the evolution of traditional educational planning. Benefiting from this revolution, a new paradigm, named smart campus came into being. More specifically, teaching way has changed significantly with the help of quite a few emerging real-time applications. However, the computing capabilities of smart devices (SDs) are constrained. Fortunately, mobile edge computing (MEC) has emerged as a scalable computing model to augment capacity of SDs by placing computing resources closer to users. However, the resources of the ESs in MEC are not inexhaustible. In view of this, we investigate computation offloading for latency-sensitive application which is modeled as workflow application in MEC-enabled smart campuses. Specifically, time consumption, energy consumption, and resource utilization are regarded as our optimized goals. To this end, a corresponding method is proposed. Extensive experimental results show that our method can achieve effective optimization effect in terms of given objectives.
