Offloading Augmented Reality Tasks with Smart Energy Source-Aware Algorithms at the Edge-Reference-Cited by-同舟云学术

Offloading Augmented Reality Tasks with Smart Energy Source-Aware Algorithms at the Edge

Published:2023-10-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems
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Author:

Spinelli Francesco¹^ORCID,Bazco Nogueras Antonio²^ORCID,Mancuso Vincenzo²^ORCID

Affiliation:

1. IMDEA Networks Institute & Universidad Carlos III de Madrid, Madrid, Spain

2. IMDEA Networks Institute, Madrid, Spain

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3616388.3617523

Reference29 articles.

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2. Tristan Braud , Pengyuan Zhou , Jussi Kangasharju , and Pan Hui . 2020 . Multipath Computation Offloading for Mobile Augmented Reality. In IEEE Int. Conf. Pervasive Computing and Communications (PerCom). 1--10 . https://doi.org/10.1109/PerCom45495.2020.9127360 10.1109/PerCom45495.2020.9127360 Tristan Braud, Pengyuan Zhou, Jussi Kangasharju, and Pan Hui. 2020. Multipath Computation Offloading for Mobile Augmented Reality. In IEEE Int. Conf. Pervasive Computing and Communications (PerCom). 1--10. https://doi.org/10.1109/PerCom45495.2020.9127360

3. R. Buyya and S.N. Srirama. 2019. Fog and Edge Computing: Principles and Paradigms. Wiley. 2018054742 R. Buyya and S.N. Srirama. 2019. Fog and Edge Computing: Principles and Paradigms. Wiley. 2018054742

4. Edge intelligence computing for mobile augmented reality with deep reinforcement learning approach

5. Energy-Efficient Task Offloading and Resource Allocation via Deep Reinforcement Learning for Augmented Reality in Mobile Edge Networks

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