Exploration of Multi-Task Scheduling in Multi-Access Edge Computing

Author:

Anand J.1ORCID,Karthikeyan B.1ORCID

Affiliation:

1. School of Electronics Engineering, Vellore Institute of Technology, Vellore 632014, India

Publisher

MDPI

Reference31 articles.

1. A survey on task offloading in multi-access edge computing;Islam;J. Syst. Archit.,2021

2. Lin, B., Lin, X., Zhang, S., Wang, H., and Bi, S. (2020, January 2–4). Computation task scheduling and offloading optimization for collaborative mobile edge computing. Proceedings of the 2020 IEEE 26th International Conference on Parallel and Distributed Systems (ICPADS), Hong Kong, China.

3. Cost-based energy efficient scheduling technique for dynamic voltage and frequency scaling system in cloud computing;Ajmal;Sustain. Energy Technol. Assess.,2021

4. Sheng, S., Chen, P., Chen, Z., Wu, L., and Yao, Y. (2021). Deep reinforcement learning-based task scheduling in IoT edge computing. Sensors, 21.

5. Sustainable offloading in mobile cloud computing: Algorithmic design and implementation;Boukerche;ACM Comput. Surv. (CSUR),2019

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