ENF-S: An Evolutionary-Neuro-Fuzzy Multi-Objective Task Scheduler for Heterogeneous Multi-Core Processors
Author:
Affiliation:
1. Faculty of Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran
2. Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computational Theory and Mathematics,Control and Optimization,Hardware and Architecture,Renewable Energy, Sustainability and the Environment,Software
Link
http://xplorestaging.ieee.org/ielx7/7274860/10244170/10042007.pdf?arnumber=10042007
Reference45 articles.
1. Online Resource Management for Improving Reliability of Real-Time Systems on “Big–Little” Type MPSoCs
2. A Novel Bicriteria Scheduling Heuristics Providing a Guaranteed Global System Failure Rate
3. Energy-Efficient Scheduling for Real-Time Systems Based on Deep Q-Learning Model
4. Temperature-Aware Scheduling and Assignment for Hard Real-Time Applications on MPSoCs
5. Thermal-Aware Standby-Sparing Technique on Heterogeneous Real-Time Embedded Systems
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