Работы, на которые ссылается эта работа

Работ: 39

Работа: Efficient deep reinforcement learning based task scheduler in multi cloud environment

An initialization-free distributed algorithm for dynamic economic dispatch problems in microgrid: Modeling, optimization and analysis
Yuzhu Duan, Yiyi Zhao, Jiangping Hu
Статья2023Цитирований: 7
ABI
DRLBTSA: Deep reinforcement learning based task-scheduling algorithm in cloud computing
Sudheer Mangalampalli, Ganesh Reddy Karri, Mohit Kumar +3
Статья2023Цитирований: 4
ABI
CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
Rodrigo N. Calheiros, Rajiv Ranjan, Anton Beloglazov +2
Статья2010Цитирований: 3
ABI
A Joint Resource Allocation, Security with Efficient Task Scheduling in Cloud Computing Using Hybrid Machine Learning Techniques
Prasanta Kumar Bal, Sudhir Kumar Mohapatra, Tapan Kumar Das +2
Статья2022Цитирований: 3
ABI
Multi-Objective Task Scheduling Optimization for Load Balancing in Cloud Computing Environment Using Hybrid Artificial Bee Colony Algorithm With Reinforcement Learning
Boonhatai Kruekaew, Warangkhana Kimpan
Статья2022Цитирований: 3
ABI
Optimization of Load Balancing and Task Scheduling in Cloud Computing Environments Using Artificial Neural Networks-Based Binary Particle Swarm Optimization (BPSO)
Mohammed Alghamdi
Статья2022Цитирований: 3
ABI
Cloud Computing and Virtualization
Sudheer Mangalampalli, Pokkuluri Kiran Sree, Sangram Keshari Swain +1
Другое2023Цитирований: 3
ABI
An improved particle swarm optimization algorithm for task scheduling in cloud computing
Poria Pirozmand, Hoda Jalalinejad, Ali Asghar Rahmani Hosseinabadi +2
Статья2023Цитирований: 3
ABI
HWACOA Scheduler: Hybrid Weighted Ant Colony Optimization Algorithm for Task Scheduling in Cloud Computing
Chirag Chandrashekar, K. Pradeep, Vijayakumar Kedalu Poornachary +2
Статья2023Цитирований: 3
ABI
Distributionally Robust Scheduling for Benefit Allocation in Regional Integrated Energy System with Multiple Stakeholders
Qinglin Meng, Xiaolong Jin, Fengzhang Luo +2
Статья2024Цитирований: 3
ABI
Deep and reinforcement learning for automated task scheduling in large‐scale cloud computing systems
Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab +1
Статья2020Цитирований: 2
ABI
Optimized intellectual resource scheduling using deep reinforcement Q‐learning in cloud computing
J. Uma, P. Vivekanandan, S. Shankar
Статья2022Цитирований: 2
ABI
A novel deep reinforcement learning scheme for task scheduling in cloud computing
K Siddesha, G.V. Jayaramaiah, Chandrapal Singh
Статья2022Цитирований: 2
ABI
Multi-Objective Parallel Task Offloading and Content Caching in D2D-aided MEC Networks
Zhu Xiao, Jinmei Shu, Hongbo Jiang +4
Статья2022Цитирований: 2
ABI
Multi objective dynamic task scheduling optimization algorithm based on deep reinforcement learning
Yuqing Cheng, Zhiying Cao, Xiuguo Zhang +2
Статья2023Цитирований: 2
ABI
Fault tolerant trust based task scheduler using Harris Hawks optimization and deep reinforcement learning in multi cloud environment
Sudheer Mangalampalli, Ganesh Reddy Karri, Sachi Nandan Mohanty +5
СтатьяCloud Computing and Resource ManagementScientific Reports2023Цитирований: 2
ABI
HEPGA: A new effective hybrid algorithm for scientific workflow scheduling in cloud computing environment
Hind Mikram, Said El Kafhali, Youssef Saadi
Статья2023Цитирований: 2
ABI
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