Optimizing Task Scheduling in Multi-thread Real-Time Systems using Augmented Particle Swarm Optimization-Reference-Cited by-同舟云学术

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Optimizing Task Scheduling in Multi-thread Real-Time Systems using Augmented Particle Swarm Optimization

Published:2024-01-06 Issue: Volume: Page:666-671
ISSN:
Container-title:2024 37th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems (VLSID)
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Author:

Reddy B. Naresh Kumar¹,Krishna Y. Charan²,Nitish P. Naga Satya²,Bharatula Sita Devi²

Affiliation:

1. National Institute of Technology,Department of ECE,Tiruchirappalli,India

2. Amrita School of Engineering, Amrita Vishwa Vidyapeetham,Department of ECE,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10483275/10483296/10483524.pdf?arnumber=10483524

Reference15 articles.

1. Collaborative Heterogeneity-Aware OS Scheduler for Asymmetric Multicore Processors

2. Power- and Cache-Aware Task Mapping with Dynamic Power Budgeting for Many-Cores

3. Heuristic-based Task-to-Thread Mapping in Multi-Core Processors

4. A Cost-Optimized Data Parallel Task Scheduling with Deadline Constraints in Cloud

5. Optimization of Load Balancing and Task Scheduling in Cloud Computing Environments Using Artificial Neural Networks-Based Binary Particle Swarm Optimization (BPSO)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Comprehensive Study of Load Balancing Approaches in Real-Time Multi-Core Systems for Mixed Real-Time Tasks;IEEE Access;2024

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