IECL: An Intelligent Energy Consumption Model for Cloud Manufacturing
Author:
Affiliation:
1. School of Computer Engineering and Applied Mathematics, Changsha University, Changsha, China
2. 5G/6GIC, Institute for Communication Systems (ICS), University of Surrey, Guildford, U.K.
3. Charles Darwin University, Casuarina, NT, Australia
Funder
Scientific Research Project of Education Department of Hunan Province
Hunan Province Key Laboratory of Industrial Internet Technology and Security
Marie Curie Global Fellowship
European Commission
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/9906876/09749900.pdf?arnumber=9749900
Reference29 articles.
1. Cloud-SEnergy: A bin-packing based multi-cloud service broker for energy efficient composition and execution of data-intensive applications
2. Energy-Aware Marine Predators Algorithm for Task Scheduling in IoT-Based Fog Computing Applications
3. IndustEdge: A Time-Sensitive Networking Enabled Edge-Cloud Collaborative Intelligent Platform for Smart Industry
4. Power consumption model based on feature selection and deep learning in cloud computing scenarios
5. An Artificial Neural Network Approach to Power Consumption Model Construction for Servers in Cloud Data Centers
Cited by 27 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. Failure-aware resource provisioning for hybrid computation offloading in cloud-assisted edge computing using gravity reference approach;Swarm and Evolutionary Computation;2024-12
2. Comprehensive survey on reinforcement learning-based task offloading techniques in aerial edge computing;Internet of Things;2024-12
3. DBSCAN based approach for energy efficient VM placement using medium level CPU utilization;Sustainable Computing: Informatics and Systems;2024-09
4. Anomaly Detection-Based Multilevel Ensemble Learning for CPU Prediction in Cloud Data Centers;2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2024-08-06
5. TEBChain: A Trusted and Efficient Blockchain-Based Data Sharing Scheme in UAV-Assisted IoV for Disaster Rescue;IEEE Transactions on Network and Service Management;2024-08
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