JOURNAL ARTICLE

Machine learning & Deep learning based Load Balancing Algorithms techniques in Cloud Computing

Abstract

Cloud computing is a fledgling technology that provides computers in terms of efficient resource efficiency. The advancement of new applications in the cloud brings on an increase in load on servers. In addition to the many studies conducted in the province of Cloud computing, it still has to face some provocations, such as load balancing(LB) that require further upgrades and models for better performance and to achieve maximum user satisfaction. In this paper, we have discussed about the Machine Learning Techniques used to build VM teams according to their CPU. Deep Learning (DL) techniques are used to achieve QoS which implies improving of resource utilization and deployment; while reducing delays, response time and costs, balancing the load on all equipment, therefore, increases system reliability. This paper contains a comprehensive overview of a few machine learning as well as deep learning based algorithm on load balancing.

Keywords:
Cloud computing Computer science Load balancing (electrical power) Server Distributed computing Cloud testing Software deployment Quality of service Artificial intelligence Machine learning Reliability (semiconductor) Algorithm Cloud computing security Operating system Computer network

Metrics

9
Cited By
1.46
FWCI (Field Weighted Citation Impact)
25
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems
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