Energy Efficient Real-Time Tasks Scheduling on High-Performance Edge-Computing Systems Using Genetic Algorithm-Reference-Cited by-同舟云学术

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Energy Efficient Real-Time Tasks Scheduling on High-Performance Edge-Computing Systems Using Genetic Algorithm

Published:2024 Issue: Volume:12 Page:54879-54892
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hussain Hameed¹^ORCID,Zakarya Muhammad²^ORCID,Ali Ahmad³^ORCID,Khan Ayaz Ali⁴,Qazani Mohammad Reza Chalak²,Al-Bahri Mahmood²,Haleem Muhammad⁵^ORCID

Affiliation:

1. Department of Computer Science, University of Buner, Buner, Pakistan

2. Faculty of Computing and Information Technology, Sohar University, Sohar, Oman

3. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

4. Department of Computer Science, University of Lakki Marwat, Taja Zai, Pakistan

5. Department of Computer Science, Kardan University, Kabul, Afghanistan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10499799.pdf?arnumber=10499799

Reference43 articles.

1. A survey on resource allocation in high performance distributed computing systems

2. Load balancing through task shifting and task splitting strategies in multi-core environment

3. Towards a Tractable Exact Test for Global Multiprocessor Fixed Priority Scheduling

4. Research on strong agile response task scheduling optimization enhancement with optimal resource usage in green cloud computing

5. An overview of energy efficiency techniques in cluster computing systems

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