Resource Scheduling and Load Balancing Fusion Algorithm with Deep Learning Based on Cloud Computing

View Sample PDF

Author(s): Xiaojing Hou (Luoyang Institute of Science and Technology, China)and Guozeng Zhao (Luoyang Institute of Science and Technology, China)
Copyright: 2020
Pages: 16
Source title: Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-0414-7.ch058

Keywords: Artificial Intelligence / Computer Science & IT / Engineering Science Reference / Neural Networks

Purchase

View Resource Scheduling and Load Balancing Fusion Algorithm with Deep Learning Based on Cloud Computing on the publisher's website for pricing and purchasing information.

Abstract

With the wide application of the cloud computing, the contradiction between high energy cost and low efficiency becomes increasingly prominent. In this article, to solve the problem of energy consumption, a resource scheduling and load balancing fusion algorithm with deep learning strategy is presented. Compared with the corresponding evolutionary algorithms, the proposed algorithm can enhance the diversity of the population, avoid the prematurity to some extent, and have a faster convergence speed. The experimental results show that the proposed algorithm has the most optimal ability of reducing energy consumption of data centers.

The IRMA Community

Research IRM

Resource Scheduling and Load Balancing Fusion Algorithm with Deep Learning Based on Cloud Computing

Purchase

Abstract

Related Content

IRMA Sponsors