Cargando…

Energy saving strategy of cloud data computing based on convolutional neural network and policy gradient algorithm

Cloud Data Computing (CDC) is conducive to precise energy-saving management of user data centers based on the real-time energy consumption monitoring of Information Technology equipment. This work aims to obtain the most suitable energy-saving strategies to achieve safe, intelligent, and visualized...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yang, Dexian, Yu, Jiong, Du, Xusheng, He, Zhenzhen, Li, Ping
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803140/ https://www.ncbi.nlm.nih.gov/pubmed/36584089 http://dx.doi.org/10.1371/journal.pone.0279649

Ejemplares similares

Applying self-powered sensor and support vector machine in load energy consumption modeling and prediction of relational database
por: Yang, Dexian, et al.
Publicado: (2023)

Policy: Cloud Banks: Airlines Save Halon
por: Burton, Adrian
Publicado: (2006)

Investigating Energy-Saving Potentials in the Cloud
por: Lee, Da-Sheng
Publicado: (2014)

An Energy-Efficient Strategy and Secure VM Placement Algorithm in Cloud Computing
por: Srivastava, Devesh Kumar, et al.
Publicado: (2022)

Survey data on energy-saving policies, energy price, crisis and household energy-saving behavior
por: Nguyen, Tung Thanh, et al.
Publicado: (2023)

Neural Network-Based Routing Energy-Saving Algorithm for Wireless Sensor Networks
por: Pang, Lili, et al.
Publicado: (2022)

A Heuristic Placement Selection of Live Virtual Machine Migration for Energy-Saving in Cloud Computing Environment
por: Zhao, Jia, et al.
Publicado: (2014)

Cloud Servers: Resource Optimization Using Different Energy Saving Techniques
por: Hijji, Mohammad, et al.
Publicado: (2022)

EC policy initiatives on cloud computing
por: STANČIČ, Zoran
Publicado: (2014)

A convolutional neural network based online teaching method using edge-cloud computing platform
por: Zhong, Liu
Publicado: (2023)

Cloud computing strategies
por: Chorafas, Dimitris N
Publicado: (2011)

Metaheuristic Algorithms for Convolution Neural Network
por: Rere, L. M. Rasdi, et al.
Publicado: (2016)

A dosing strategy model of deep deterministic policy gradient algorithm for sepsis patients
por: Lin, Tianlai, et al.
Publicado: (2023)

An Optimized Convolutional Neural Network for the 3D Point-Cloud Compression
por: Luo, Guoliang, et al.
Publicado: (2023)

Satellite cloud image segmentation based on lightweight convolutional neural network
por: Li, Xi, et al.
Publicado: (2023)

A multiobjective migration algorithm as a resource consolidation strategy in cloud computing
por: Feng, Danqing, et al.
Publicado: (2019)

Energy saving strategies of honeybees in dipping nectar
por: Wu, Jianing, et al.
Publicado: (2015)

New strategies in cloud computing
por: Larivière, Luc
Publicado: (2020)

Health Savings Accounts: Consumer Contribution Strategies and Policy Implications
por: Lowsky, David J., et al.
Publicado: (2018)

Strategies to save energy in the context of the energy crisis: a review
por: Farghali, Mohamed, et al.
Publicado: (2023)

Gradient Learning Algorithms for Ontology Computing
por: Gao, Wei, et al.
Publicado: (2014)

Image Decomposition Algorithm for Dual-Energy Computed Tomography via Fully Convolutional Network
por: Xu, Yifu, et al.
Publicado: (2018)

An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms
por: Dong, Ruyi, et al.
Publicado: (2023)

Stochastic gradient descent optimisation for convolutional neural network for medical image segmentation
por: Nagendram, Sanam, et al.
Publicado: (2023)

Network Architecture for Optimizing Deep Deterministic Policy Gradient Algorithms
por: Zhang, Haifei, et al.
Publicado: (2022)

BBNet: A Novel Convolutional Neural Network Structure in Edge-Cloud Collaborative Inference
por: Zhou, Hongbo, et al.
Publicado: (2021)

Identification lodging degree of wheat using point cloud data and convolutional neural network
por: Li, Yunlong, et al.
Publicado: (2022)

Analysis of Convolutional Neural Network Segmentation Algorithm of Adenomyoma
por: Jin, Yi, et al.
Publicado: (2022)

An Energy-Saving and Efficient Deployment Strategy for Heterogeneous Wireless Sensor Networks Based on Improved Seagull Optimization Algorithm
por: Cao, Li, et al.
Publicado: (2023)

Energy-saving optimization of the parallel chillers system based on a multi-strategy improved sparrow search algorithm
por: Shao, Xiaodan, et al.
Publicado: (2023)

Saving energy
Publicado: (1985)

An Efficient Virtual Machine Consolidation Algorithm for Cloud Computing
por: Yuan, Ling, et al.
Publicado: (2023)

Energy saving and emission reduction fiscal policy and corporate green technology innovation
por: Jin, Huan, et al.
Publicado: (2022)

Dynamic Gesture Recognition Algorithm Based on 3D Convolutional Neural Network
por: Liu, Yuting, et al.
Publicado: (2021)

Computation and memory optimized spectral domain convolutional neural network for throughput and energy-efficient inference
por: Rizvi, Shahriyar Masud, et al.
Publicado: (2022)

3D Point Cloud Recognition Based on a Multi-View Convolutional Neural Network
por: Zhang, Le, et al.
Publicado: (2018)

Green computing : tools and techniques for saving energy, money, and resources
por: Smith, Bud E
Publicado: (2014)

Algorithmic Approach to Virtual Machine Migration in Cloud Computing with Updated SESA Algorithm
por: Kaur, Amandeep, et al.
Publicado: (2023)

Flexible energy-saving strategies in female temperate-zone bats
por: Keicher, Lara, et al.
Publicado: (2022)

Pan-Logical Probabilistic Algorithms Based on Convolutional Neural Networks
por: Liu, Fangrong
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_98qlvkctbpnkrlnluv66s97p9s