A4 Refereed article in a conference publication
User-centric Resource Management for Embedded Multi-core Processors
Authors: Elham Shamsa, Anil Kanduri, Nima TaheriNejad, Alma Probstl, Samarjit Chakraborty, Amir M. Rahmani, Pasi Liljeberg
Editors: IEEE
Conference name: International Conference On VLSI Design
Publication year: 2020
Journal: VLSI Design
Book title : 2020 33rd International Conference on VLSI Design and 2020 19th International Conference on Embedded Systems (VLSID)
First page : 43
Last page: 48
ISBN: 978-1-7281-5702-3
eISBN: 978-1-7281-5701-6
ISSN: 2380-6923
DOI: https://doi.org/10.1109/VLSID49098.2020.00025
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/44934285
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.
Downloadable publication This is an electronic reprint of the original article. |  |
