Optimizing energy-performance trade-offs in solar-powered edge devices
File(s)
Accepted version
Author(s)
Harrison, PG
Patel, NM
Type
Conference Paper
Abstract
Power modes can be used to save energy in electronic devices but a low power level typically degrades performance. This trade-off is addressed in the so-called EP-queue model, which is a queue depth dependent M/GI/1 queue augmented with power-down and power-up phases of operation. The ability to change service times by power settings allows us to leverage a Markov Decision Process (MDP), which approach we illustrate using a simple fully solar-powered case study with finite states representing levels of battery charge and solar intensity.
Date Issued
2018-03-30
Date Acceptance
2018-01-25
Citation
ICPE '18 Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018, pp.253-260
ISBN
978-1-4503-5095-2
Publisher
ACM
Start Page
253
End Page
260
Journal / Book Title
ICPE '18 Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering
Copyright Statement
© 2018 Copyright held by the owner/author(s). Permission to make digital or hard copies of part or all of this work for personal
or classroom use is granted without fee provided that copies are not made or
distributed for profit or commercial advantage and that copies bear this notice
and the full citation on the first page. Copyrights for third-party components of
this work must be honored. For all other uses, contact the owner/author(s).
or classroom use is granted without fee provided that copies are not made or
distributed for profit or commercial advantage and that copies bear this notice
and the full citation on the first page. Copyrights for third-party components of
this work must be honored. For all other uses, contact the owner/author(s).
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Grant Number
EP/L00738X/1
Source
ACM/SPEC International Conference on Performance Engineering
Publication Status
Published
Start Date
2018-04-09
Finish Date
2018-04-13
Coverage Spatial
Berlin