UBAR: User- And Battery-aware Resource Management for Smartphones

Elham Shamsa, Alma Probstl, Nima Taherinejad, Anil Kanduri, Samarjit Chakraborty, Amir M. Rahmani, Pasi Liljeberg

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

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 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.

Original languageEnglish
Article number3441644
JournalACM Transactions on Embedded Computing Systems
Volume20
Issue number3
DOIs
StatePublished - Apr 2021
Externally publishedYes

Keywords

  • On-chip resource management
  • battery cycle life
  • heterogeneous multi-core systems
  • quality of experience
  • user-awareness

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