An autonomous architecture based on reinforcement deep neural network for resource allocation in cloud computing

• Published in: Computing Vol. 106; no. 2; pp. 371 - 403
• Main Authors: Alizadeh Javaheri, Seyed Danial, Ghaemi, Reza, Monshizadeh Naeen, Hossein
• Format: Journal Article
• Language: English
• Published: Vienna Springer Vienna 01.02.2024; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Artificial neural networks; Cloud computing; Computer Appl. in Administrative Data Processing; Computer Communication Networks; Computer Science; Energy consumption; Heuristic methods; Information Systems Applications (incl.Internet); Infrastructure; Machine learning; Neural networks; Particle swarm optimization; Regular Paper; Resource allocation; Resource utilization; Software Engineering; Virtual environments; Autonomous system; Cloud computing; 68T07; Deep reinforcement neural network; Resource allocation; 68U01

Today, cloud computing technology has attracted the attention of many researchers. According to the needs of users to quickly execute requests and provide quality services, optimal allocation of resources and timing of task execution between virtual machines in cloud computing are of great importanc...