Resource allocation with efficient task scheduling in cloud computing using hierarchical auto-associative polynomial convolutional neural network-Reference-Cited by-同舟云学术

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Resource allocation with efficient task scheduling in cloud computing using hierarchical auto-associative polynomial convolutional neural network

Published:2024-09 Issue: Volume:249 Page:123554
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Gurusamy Sumathi^ORCID,Selvaraj Rajesh

Publisher

Elsevier BV

Reference28 articles.

1. A metaheuristic framework for dynamic virtual machine allocation with optimized task scheduling in cloud data centers;Alsadie;IEEE Access,2021

2. An efficient and secure model using adaptive optimal deep learning for task scheduling in cloud computing;Badri;Electronics,2023

3. A joint resource allocation, security with efficient task scheduling in cloud computing using hybrid machine learning techniques;Bal;Sensors,2022

4. A review of machine learning algorithms for cloud computing security;Butt;Electronics,2020

5. A deep reinforcement learning approach to the optimization of data center task scheduling;Che;Complexity,2020

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1. Improved synergistic swarm optimization algorithm to optimize task scheduling problems in cloud computing;Sustainable Computing: Informatics and Systems;2024-09

2. Efficient load balancing strategy for cloud computing environment with African vultures algorithm;Wireless Networks;2024-07-20

3. CloudAIBus: a testbed for AI based cloud computing environments;Cluster Computing;2024-06-06

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