Energy-Latency Computation Offloading and Approximate Computing in Mobile-Edge Computing Networks
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Rutgers University, New Brunswick, NJ, USA
2. Azure for Operators (AFO), Microsoft, Acton, MA, USA
Funder
National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
https://ieeexplore.ieee.org/ielam/4275028/10599562/10418164-aam.pdf
Reference49 articles.
1. Energy-Latency-Aware Task Offloading and Approximate Computing at the Mobile Edge
2. A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects
3. Toward Enabled Industrial Verticals in 5G: A Survey on MEC-Based Approaches to Provisioning and Flexibility
4. Collaborative Mobile Edge Computing in 5G Networks: New Paradigms, Scenarios, and Challenges
5. A Survey of Computation Offloading for Mobile Systems
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