Examining the energy impact of sorting algorithms on android-Reference-Cited by-同舟云学术

Examining the energy impact of sorting algorithms on android

Published:2019-11-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
language:
Short-container-title:

Author:

Schuler Andreas¹,Anderst-Kotsis Gabriele²

Affiliation:

1. University of Applied Sciences Upper Austria, Hagenberg, Upper Austria, Austria

2. Johannes Kepler University, Linz, Upper Austria, Austria

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3360774.3360808

Reference20 articles.

1. Calculating source line level energy information for Android applications

2. Energy efficiency

3. Monsoon Solutions. 2019. Monsoon Solutions high voltage power monitor. http://msoon.github.io/powermonitor/HVPM.html. Accessed: 2019-09-22. (2019). Monsoon Solutions. 2019. Monsoon Solutions high voltage power monitor. http://msoon.github.io/powermonitor/HVPM.html. Accessed: 2019-09-22. (2019).

4. SEMA: An Approach Based on Internal Measurement to Evaluate Energy Efficiency of Android Applications

Cited by 10 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. AgriAdapt: Towards Resource-Efficient UAV Weed Detection using Adaptable Deep Learning;Proceedings of the 2nd Workshop on Networked Sensing Systems for a Sustainable Society;2023-10-06

2. Context-aware adaptation of mobile video decoding resolution;Multimedia Tools and Applications;2022-10-03

3. Enabling resource-efficient edge intelligence with compressive sensing-based deep learning;Proceedings of the 19th ACM International Conference on Computing Frontiers;2022-05-17

4. Meta-analytical comparison of energy consumed by two sorting algorithms;Information Sciences;2022-01

5. Self-Adaptive Approximate Mobile Deep Learning;Electronics;2021-11-28