NDLI: Maximizing the Lifetime of Embedded Systems Powered by Fuel Cell-Battery Hybrids

Content Provider	IEEE Xplore Digital Library
Author	Jianli Zhuo Chakrabarti, C. Kyungsoo Lee Naehyuck Chang Vrudhula, S.
Copyright Year	1993
Abstract	Fuel cell (FC) is a viable alternative power source for portable applications; it has higher energy density than traditional Li-ion battery and thus can achieve longer lifetime for the same weight or volume. However, because of its limited power density, it can hardly track fast fluctuations in the load current of digital systems. A hybrid power source, which consists of a FC and a Li-ion battery, has the advantages of long lifetime and good load following capabilities. In this paper, we consider the problem of extending the lifetime of a fuel-cell-based hybrid source that is used to provide power to an embedded system which supports dynamic voltage scaling (DVS). We propose an energy-based optimization framework that considers the characteristics of both the energy consumer (the embedded system) and the energy provider (the hybrid power source). We use this framework to develop algorithms that determine the output power level of the FC and the scaling factor of the DVS processor during task scheduling. Simulations on task traces based on a real-application (Path Finder) and a randomized version demonstrate significant superiority of our algorithms with respect to a conventional DVS algorithm which only considers energy minimization of the embedded system.
Sponsorship	IEEE Computer Society Association for Computing Machinery (ACM)/SIGDA IEEE Computer Society Technical Committee on Design Automation
Starting Page	22
Ending Page	32
Page Count	11
File Size	1077242
File Format	PDF
ISSN	10638210
Volume Number	17
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Embedded system Voltage control Batteries Fuel cells Fluctuations Digital systems Dynamic voltage scaling Scheduling algorithm Power generation Processor scheduling task scheduling Dynamic voltage scaling (DVS) embedded system fuel cell (FC) hybrid power
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Software Hardware and Architecture

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Static task-scheduling algorithms for battery-powered DVS systems

Dynamic Voltage and Frequency Scheduling for Embedded Processors Considering Power/Performance Tradeoffs

Dynamic and Leakage Energy Minimization With Soft Real-Time Loop Scheduling and Voltage Assignment

Real-Time Dynamic Voltage Loop Scheduling for Multi-Core Embedded Systems

Simultaneous Dynamic Voltage Scaling of Processors and Communication Links in Real-Time Distributed Embedded Systems

Optimal intratask dynamic voltage-scaling technique and its practical extensions

Total Energy Minimization of Real-Time Tasks in an On-Chip Multiprocessor Using Dynamic Voltage Scaling Efficiency Metric

Intra-task voltage scheduling on DVS-enabled hard real-time systems

Energy-aware wireless systems with adaptive power-fidelity tradeoffs

Maximizing the Lifetime of Embedded Systems Powered by Fuel Cell-Battery Hybrids

Similar Documents

Static task-scheduling algorithms for battery-powered DVS systems

Dynamic Voltage and Frequency Scheduling for Embedded Processors Considering Power/Performance Tradeoffs

Dynamic and Leakage Energy Minimization With Soft Real-Time Loop Scheduling and Voltage Assignment

Real-Time Dynamic Voltage Loop Scheduling for Multi-Core Embedded Systems

Simultaneous Dynamic Voltage Scaling of Processors and Communication Links in Real-Time Distributed Embedded Systems

Optimal intratask dynamic voltage-scaling technique and its practical extensions

Total Energy Minimization of Real-Time Tasks in an On-Chip Multiprocessor Using Dynamic Voltage Scaling Efficiency Metric

Intra-task voltage scheduling on DVS-enabled hard real-time systems

Energy-aware wireless systems with adaptive power-fidelity tradeoffs

Maximizing the Lifetime of Embedded Systems Powered by Fuel Cell-Battery Hybrids