Author:
Kim Dohee,Lee Soyoon,Bahn Hyokyung
Subject
Software,Computer Science Applications,Hardware and Architecture,Computer Networks and Communications,Information Systems
Reference34 articles.
1. A. Carroll, G. Heiser, An analysis of power consumption in a smartphone, in: Proceedings of the USENIX Annual Technical Conference, 2010, pp. 271–284.
2. G. Perrucci, F. Fitzek, J. Widmer, Survey on energy consumption entities on the smartphone platform, in: Proceedings of the 73rd Vehicular Technology Conference, 2011, pp. 1–6.
3. Y. Chon, E. Talipov, H. Shin, H. Cha, Mobility prediction-based smartphone energy optimization for everyday location monitoring, in: Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems, 2011, pp. 82–95.
4. J. Paek, J. Kim, R. Govindan, Energy-efficient rate-adaptive GPS-based positioning for smartphones, in: Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services, 2010, pp. 299–314.
5. Z. Zhuang, K.H. Kim, J.P. Singh, Improving energy efficiency of location sensing on smartphones, in: Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services, 2010, pp. 315–330.
Cited by
21 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. Adaptive Swapping for Variable Workloads in Real-time Task Scheduling;2023 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI);2023-10-18
2. Analyzing Data Access Characteristics of Deep Learning Workloads and Implications;2023 3rd International Conference on Electronic Information Engineering and Computer Science (EIECS);2023-09-22
3. File Access Characteristics of Deep Learning Workloads and Cache-Friendly Data Management;2023 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI);2023-09-20
4. Trace-Based Performance Analysis for Deep Learning in Edge Container Environments;2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC);2023-09-18
5. Memory Reference Analysis and Implications for Executing AI Workloads in Mobile Systems;2023 International Conference on Electrical and Information Technology (IEIT);2023-09-14