Saving energy on smartphones through edge computing-Reference-Cited by-同舟云学术

Saving energy on smartphones through edge computing

Published:2022-08-22 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM SIGCOMM Workshop on Networked Sensing Systems for a Sustainable Society
language:
Short-container-title:

Author:

Caiazza Chiara¹,Luconi Valerio²,Vecchio Alessio¹

Affiliation:

1. University of Pisa, Pisa, Italy

2. IIT-CNR, Pisa, Italy

Funder

Ministero dell'Università e della Ricerca

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3538393.3544935

Reference26 articles.

1. Real-Time Video Analytics: The Killer App for Edge Computing

2. Adaptive Predictive Power Management for Mobile LTE Devices

3. Chiara Caiazza , Silvia Giordano , Valerio Luconi , and Alessio Vecchio . 2021. Edge Computing vs Centralized Cloud: Impact of Communication Latency on the Energy Consumption of LTE Terminal Nodes. arXiv preprint arXiv:2111.10076 ( 2021 ). Chiara Caiazza, Silvia Giordano, Valerio Luconi, and Alessio Vecchio. 2021. Edge Computing vs Centralized Cloud: Impact of Communication Latency on the Energy Consumption of LTE Terminal Nodes. arXiv preprint arXiv:2111.10076 (2021).

4. Developing an edge computing platform for real-time descriptive analytics

5. Smartphone Energy Drain in the Wild

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Energy consumption of smartphones and IoT devices when using different versions of the HTTP protocol;Pervasive and Mobile Computing;2024-01

2. Smartphones-Based Efficient Multi-point Interaction;Lecture Notes in Networks and Systems;2024

3. Measuring the Energy of Smartphone Communications in the Edge-Cloud Continuum: Approaches, Challenges, and a Case Study;IEEE Internet Computing;2023-11