Optimization of cloud computing task execution time and user QoS utility by improved particle swarm optimization-Reference-Cited by-同舟云学术

Optimization of cloud computing task execution time and user QoS utility by improved particle swarm optimization

Published:2021-02 Issue: Volume:80 Page:103529
ISSN:0141-9331
Container-title:Microprocessors and Microsystems
language:en
Short-container-title:Microprocessors and Microsystems

Author:

Qi Wenqing

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software

Reference13 articles.

1. Qrsf: qos-aware resource scheduling framework in cloud computing;Singh;J. Supercomput.,2015

2. A decentralized quantum-inspired particle swarm optimization algorithm with cellular structured population;Fang;Inf. Sci.,2016

3. Particle swarm optimization algorithm with intelligent particle number control for optimal design of electric machines;Jin;IEEE Trans. Ind. Electron.,2017

4. Optimal phasor measurement units placement for full observability of power system using improved particle swarm optimisation;Saleh;Iet Gen. Transm. Distrib.,2017

5. Provision of data-intensive services through energy- and qos-aware virtual machine placement in national cloud data centers;Wang;IEEE Trans. Emerg. Top. Comput.,2017

Cited by 8 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. How to optimize service-oriented cloud manufacturing;Journal of the Operational Research Society;2024-08-02

2. Improved Double Deep Q Network-Based Task Scheduling Algorithm in Edge Computing for Makespan Optimization;Tsinghua Science and Technology;2024-06

3. Distributed Graph Database Load Balancing Method Based on Deep Reinforcement Learning;Computers, Materials & Continua;2024

4. Supportive particle swarm optimization with time-conscious scheduling (SPSO-TCS) algorithm in cloud computing for optimized load balancing;International Journal of Cognitive Computing in Engineering;2024

5. Quality of service aware improved coati optimization algorithm for efficient task scheduling in cloud computing environment;Journal of Engineering Research;2023-09