Conference proceeding
Graceful Performance Adaption through Hardware-Software Interaction for Autonomous Battery Management of Multicore Smartphones
2018 NINTH INTERNATIONAL GREEN AND SUSTAINABLE COMPUTING CONFERENCE (IGSC)
01 Jan 2018
Abstract
Despite advances in multicore smartphone technologies, battery consumption still remains one of customer's least satisfying features. This is because existing energy saving techniques do not consider the electrochemical characteristics of batteries, which causes battery consumption to vary unpredictably, both within and across applications. Additionally, these techniques provide application specific fixed performance degradation in order to reduce energy consumption. Having a performance penalty, even when a battery is fully charged, adds to customer dissatisfaction. We propose a control-based approach for run-time power management of multicore smartphones, which scales the frequency of processing cores in response to the battery consumption, taking into account the electrochemical characteristics of a battery. The objective is to enable graceful performance modulation, which adapts with application and battery availability in a predictable manner, improving quality-of-user-experience. Our control approach is practically demonstrated on embedded Linux running on Cortex A15-based smartphone development platform from nvidia. A thorough validation with mobile and Java workloads demonstrate 2.9x improvement in battery availability compared to state-of-the-art approaches.
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Details
- Title
- Graceful Performance Adaption through Hardware-Software Interaction for Autonomous Battery Management of Multicore Smartphones
- Creators
- Anup Das - Drexel Univ, Elect & Comp Engn, Philadelphia, PA 19104 USADomenico Balsamo - Univ Southampton, Sch ECS, Southampton, Hants, EnglandGeoff. V. Merrett - Univ Southampton, Sch ECS, Southampton, Hants, EnglandBashir M. Al-Hashimi - Univ Southampton, Sch ECS, Southampton, Hants, EnglandFrancky Catthoor - IMEC Leuven, Leuven, BelgiumIEEE
- Publication Details
- 2018 NINTH INTERNATIONAL GREEN AND SUSTAINABLE COMPUTING CONFERENCE (IGSC)
- Conference
- 2018 9TH INTERNATIONAL GREEN AND SUSTAINABLE COMPUTING CONFERENCE (IGSC), 9th
- Publisher
- IEEE
- Number of pages
- 6
- Grant note
- EP/L000563/1 / EPSRC; UK Research & Innovation (UKRI); Engineering & Physical Sciences Research Council (EPSRC) EP/K034448/1 / PRiME Programme Grant
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Identifiers
- 991019295309904721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic
- Green & Sustainable Science & Technology