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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; S. 1 - 25.

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 users´ 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 user´s 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.

http://dx.doi.org/10.1145/3441644

https://publik.tuwien.ac.at/files/publik_300500.pdf