aTask scheduling approaches in fog computing: A survey-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

aTask scheduling approaches in fog computing: A survey

Published:2020-01-02 Issue: Volume: Page:
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans Emerging Tel Tech

Author:

Hosseinioun Pejman¹,Kheirabadi Maryam¹^ORCID,Kamel Tabbakh Seyed Reza²,Ghaemi Reza³

Affiliation:

1. Department of Computer Engineering, Neyshabur BranchIslamic Azad University Neyshabur Iran

2. Department of Computer Engineering, Mashhad BranchIslamic Azad University Mashhad Iran

3. Department of Computer Engineering, Quchan BranchIslamic Azad University Quchan Iran

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.3792

Reference36 articles.

1. Joint failure recovery, fault prevention, and energy‐efficient resource management for real‐time SFC in fog‐supported SDN;Tajiki MM;Comput Netw,2019

2. Software as a service based CRM providers in the cloud computing: Challenges and technical issues

3. A secure fog‐based platform for SCADA‐based IoT critical infrastructure

4. The Security of Big Data in Fog-Enabled IoT Applications Including Blockchain: A Survey

5. A moth-flame optimization algorithm for web service composition in cloud computing: Simulation and verification

Cited by 46 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. PredictOptiCloud: A hybrid framework for predictive optimization in hybrid workload cloud task scheduling;Simulation Modelling Practice and Theory;2024-07

2. Enhancing IoT Workloads: A Comparative Study of Fog and Edge Computing Scheduling Algorithms;2024 International Conference on Circuit, Systems and Communication (ICCSC);2024-06-28

3. Task scheduling approach in fog and cloud computing using Jellyfish Search (JS) optimizer and Improved Harris Hawks optimization (IHHO) algorithm enhanced by deep learning;Cluster Computing;2024-04-13

4. Convergence of the Harris hawks optimization algorithm and fuzzy system for cloud-based task scheduling enhancement;Cluster Computing;2024-01-09

5. Multi-Agent DRL-Based Task Offloading in Multiple RIS-Aided IoV Networks;IEEE Transactions on Vehicular Technology;2024-01

同舟云学术

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