Power consumption model based on feature selection and deep learning in cloud computing scenarios
出版年份 2020 全文链接
标题
Power consumption model based on feature selection and deep learning in cloud computing scenarios
作者
关键词
-
出版物
IET Communications
Volume 14, Issue 10, Pages 1610-1618
出版商
Institution of Engineering and Technology (IET)
发表日期
2020-03-19
DOI
10.1049/iet-com.2019.0717
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Practical Model for Energy Consumption Analysis of Beam Pumping Motor Systems and Its Energy-Saving Applications
- (2018) Haisen Zhao et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- Feature selection in machine learning prediction systems for renewable energy applications
- (2018) S. Salcedo-Sanz et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Source-Level Energy Consumption Estimation for Cloud Computing Tasks
- (2018) Hui Liu et al. IEEE Access
- Fine-Grained Energy Consumption Model of Servers Based on Task Characteristics in Cloud Data Center
- (2018) Zhou Zhou et al. IEEE Access
- LACE: A Locust-Inspired Scheduling Algorithm to Reduce Energy Consumption in Cloud Datacenters
- (2018) Heba A. Kurdi et al. IEEE Access
- Consumption Behavior Analytics-Aided Energy Forecasting and Dispatch
- (2017) Yingchen Zhang et al. IEEE INTELLIGENT SYSTEMS
- A clustering algorithm for stream data with LDA-based unsupervised localized dimension reduction
- (2017) Sirisup Laohakiat et al. INFORMATION SCIENCES
- Data Center Energy Consumption Modeling: A Survey
- (2016) Miyuru Dayarathna et al. IEEE Communications Surveys and Tutorials
- Stochastic Energy Efficient Cloud Service Provisioning Deploying Renewable Energy Sources
- (2016) Markos Anastasopoulos et al. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
- Fog Computing May Help to Save Energy in Cloud Computing
- (2016) Fatemeh Jalali et al. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
- Survey of Techniques and Architectures for Designing Energy-Efficient Data Centers
- (2016) Junaid Shuja et al. IEEE Systems Journal
- Adaptive Power Efficiency Control by Computer Power Consumption Prediction Using Performance Counters
- (2016) Shinichi Kawaguchi et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- A Hierarchical Correlation Model for Evaluating Reliability, Performance, and Power Consumption of a Cloud Service
- (2016) Xiwei Qiu et al. IEEE Transactions on Systems Man Cybernetics-Systems
- EnReal: An Energy-Aware Resource Allocation Method for Scientific Workflow Executions in Cloud Environment
- (2016) Xiaolong Xu et al. IEEE Transactions on Cloud Computing
- Deep learning
- (2015) Yann LeCun et al. NATURE
- EMaaS: Cloud-Based Energy Management Service for Distributed Renewable Energy Integration
- (2015) Yu-Wen Chen et al. IEEE Transactions on Smart Grid
- Managing performance and power consumption tradeoff for multiple heterogeneous servers in cloud computing
- (2014) Yuan Tian et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems
- (2014) Abdul Hameed et al. COMPUTING
- Power Consumption Estimation Models for Processors, Virtual Machines, and Servers
- (2013) Christoph Mobius et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- Energy accounting for shared virtualized environments under DVFS using PMC-based power models
- (2011) Ramon Bertran et al. Future Generation Computer Systems-The International Journal of eScience
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search