Publications in Scientific Journals:
E. Shamsa, A. Proebstl, N. TaheriNejad, A. Kanduri, S. Chakraborty, A. M. Rahmani, P. Liljeberg:
"UBAR: User and Battery Aware Resource Management for Smartphones";
ACM Transactions on Embedded Computing Systems,
20
(2021),
3;
1
- 25.
English abstract:
Smartphone users require high Battery Cycle Life (BCL) and high Quality of Experience (QoE) during their usage. These two objectives can be conflicting based on the user preference at run-time. Finding the best trade-off between QoE and BCL requires an intelligent resource management approach that considers and learns user preference at run-time. Current approaches focus on one of these two objectives and neglect the other, limiting their efficiency in meeting usersī needs. In this article, we present UBAR, User- and Battery-aware Resource management, which considers dynamic workload, user preference, and user plug-in/out pattern at run-time to provide a suitable trade-off between BCL and QoE. UBAR personalizes this trade-off by learning the userīs habits and using that to satisfy QoE, while considering battery temperature and State of Charge (SOC) pattern to maximize BCL. The evaluation results show that UBAR achieves 10% to 40% improvement compared to the existing state-of-the-art approaches.
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1145/3441644
Electronic version of the publication:
https://publik.tuwien.ac.at/files/publik_300500.pdf
Created from the Publication Database of the Vienna University of Technology.