A load balancing and optimization strategy (LBOS) using reinforcement learning in fog computing environment
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
http://link.springer.com/content/pdf/10.1007/s12652-020-01768-8.pdf
Reference56 articles.
1. Alam M, Khan ZA (2017) Issues and challenges of load balancing algorithm in cloud computing environment. Indian J Sci Technol. https://doi.org/10.17485/ijst/2017/v10i25/105688
2. Aqueveque P, Gutierrez C, Saavedra F, Pino EJ, Morales A, Wiechmann E (2017) Monitoring physio-logical variables of mining workers at high altitude. IEEE Trans Ind Appl 53:2628–2634. https://doi.org/10.1109/TIA.2017.2675360
3. Arani M, Souri A, Rahmanian A (2019) Resource management approaches in fog computing: a comprehensive review. J Grid Comput. https://doi.org/10.1007/s10723-019-09491-1
4. Atul G (2014) A comparative study of static and dynamic load balancing algorithms. IJARCSMS 2(12):386–392
5. Baek J, Kaddoum G, Garg S, Kaur K, Gravel V (2019) Managing fog networks using reinforcement learning based load balancing algorithm. IEEE Wirel Commun Netw Conf. https://doi.org/10.1109/WCNC.2019.8885745
Cited by 109 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. Improved deep network‐based load predictor and optimal load balancing in cloud‐fog services;Concurrency and Computation: Practice and Experience;2024-09-04
2. Delay-Aware and Energy-Efficient Task Scheduling Using Strength Pareto Evolutionary Algorithm II in Fog-Cloud Computing Paradigm;Wireless Personal Communications;2024-08-26
3. A Modified Levy Flight Firefly-Based Approach to Optimize Turnaround Time in Fog Computing Environments;IETE Journal of Research;2024-08-11
4. Online Decentralized Scheduling in Fog Computing for Smart Cities Based on Reinforcement Learning;IEEE Transactions on Cognitive Communications and Networking;2024-08
5. HOGWO: a fog inspired optimized load balancing approach using hybridized grey wolf algorithm;Cluster Computing;2024-06-25
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3