Energy-Minimized Scheduling of Intermittent Real-Time Tasks in a CPU-GPU Cloud Computing Platform
Author:
Affiliation:
1. College of Engineering, China Agricultural University, Beijing, China
2. Department of Automation, Tsinghua University, Beijing, China
Funder
STI2030-Major Projects
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computational Theory and Mathematics,Hardware and Architecture,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/71/10153956/10163932.pdf?arnumber=10163932
Reference47 articles.
1. A Task Scheduling Algorithm With Improved Makespan Based on Prediction of Tasks Computation Time algorithm for Cloud Computing
2. An Energy-Efficient Task Scheduling Algorithm in DVFS-enabled Cloud Environment
3. Adaptive Energy-Minimized Scheduling of Real-Time Applications in Vehicular Edge Computing
4. An energy-efficient, QoS-aware and cost-effective scheduling approach for real-time workflow applications in cloud computing systems utilizing DVFS and approximate computations
5. Bi-objective scheduling algorithm for scientific workflows on cloud computing platform with makespan and monetary cost minimization approach
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