User-centric resource management for embedded multi-core processors

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Modern battery powered Embedded Systems (ES) must provide a high performance with minimal energy consumption to enhance the user experience. However, these two are often conflicting objectives. In current ES resource management techniques, user behavior and preferences are only indirectly or not at all considered. In this paper, we present a novel user- and battery-aware resource management framework for multi-processor architectures that considers these conflicting requirements and dynamic unknown workloads at run-time to maximize user satisfaction. Proposed technique learns user's habits to dynamically adjust the resource management schemes based on the data it collects regarding user's plug-in behavior, battery charge status, and workloads variability at run-time. This information is used to improve the balance between performance and energy consumption, and thus optimize the Quality of Experience (QoE). Our evaluation results show that our framework enhances the user experience by 22% in comparison with the existing state-of-the-art.

Original languageEnglish
Title of host publicationProceedings - 33rd International Conference on VLSI Design, VLSID 2020 - Held concurrently with 19th International Conference on Embedded Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages43-48
Number of pages6
ISBN (Electronic)9781728157016
DOIs
StatePublished - Jan 2020
Event33rd International Conference on VLSI Design, VLSID 2020 - Bengaluru, India
Duration: 4 Jan 20208 Jan 2020

Publication series

NameProceedings - 33rd International Conference on VLSI Design, VLSID 2020 - Held concurrently with 19th International Conference on Embedded Systems

Conference

Conference33rd International Conference on VLSI Design, VLSID 2020
Country/TerritoryIndia
CityBengaluru
Period4/01/208/01/20

Keywords

  • Battery-awareness
  • Energy Consumption
  • Heterogeneous
  • Multi-processor
  • Performance
  • Personalization
  • Quality of Experience
  • Resource Management
  • User-awareness

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