Paper Info
Title
Energy Efficient Real-Time Scheduling Algorithm For Mixed Task Set On Multi-Core Processors
Abstract
Energy optimisation is gaining greater significance in a wide range of systems from mobile devices to datacentres. Specifically, in battery powered real-time embedded systems where tasks are executed under hard timing constraints, energy optimisation poses a big challenge. This paper focuses on dynamic energy optimisation using a well-established technique namely dynamic voltage and frequency scaling (DVFS). This work presents a real-time scheduling algorithm that uses DVFS on mixed task system containing periodic as well as aperiodic tasks on homogeneous multi-core processor. The proposed algorithm guarantees periodic task deadlines and offers minimum aperiodic task response times. Simulation analysis shows that the proposed scheme saves more energy as compared to cycle conserving, static FVS and non-DVFS scheduling algorithms. Further, it does not result in any response time degradation of aperiodic tasks as compared to other algorithms.
Year
DOI
Venue
2017
10.1504/IJES.2017.088037
INTERNATIONAL JOURNAL OF EMBEDDED SYSTEMS
Keywords
Field
DocType
dynamic voltage and frequency scaling, DVFS, real-time task scheduling, mixed task set, multi-core processors, energy efficient task scheduling, energy aware task scheduling, dynamic energy optimisation, aperiodic task scheduling
Fixed-priority pre-emptive scheduling,Fair-share scheduling,Efficient energy use,Computer science,Scheduling (computing),Parallel computing,Real-time computing,Frequency scaling,Rate-monotonic scheduling,Aperiodic graph,Dynamic priority scheduling
Journal
Volume
Issue
ISSN
9
6
1741-1068
Citations 
PageRank 
References 
1
0.35
0
Authors
4
Name
Order
Citations
PageRank
Mayuri Digalwar111.03
Praveen Gahukar210.35
Biju K Raveendran325.10
Sudeept Mohan421.40