Deep reinforcement learning-based scheduling in distributed systems: a critical review

Z Jalali Khalil Abadi, N Mansouri, MM Javidi - Knowledge and Information …, 2024‏ - Springer
Many fields of research use parallelized and distributed computing environments, including
astronomy, earth science, and bioinformatics. Due to an increase in client requests, service …

DRLBTSA: Deep reinforcement learning based task-scheduling algorithm in cloud computing

S Mangalampalli, GR Karri, M Kumar, OI Khalaf… - Multimedia tools and …, 2024‏ - Springer
Task scheduling in cloud paradigm brought attention of all researchers as it is a challenging
issue due to uncertainty, heterogeneity, and dynamic nature as they are varied in size …

Cost-aware scheduling systems for real-time workflows in cloud: An approach based on genetic algorithm and deep reinforcement learning

J Zhang, L Cheng, C Liu, Z Zhao, Y Mao - Expert Systems with Applications, 2023‏ - Elsevier
With the development of cloud computing, a growing number of applications are migrating to
a cloud environment. In the process, the real-time scheduling of workflows has gradually …

Distributed real-time scheduling in cloud manufacturing by deep reinforcement learning

L Zhang, C Yang, Y Yan, Y Hu - IEEE Transactions on Industrial …, 2022‏ - ieeexplore.ieee.org
With the extensive application of automated guided vehicles, real-time production
scheduling considering logistics services in cloud manufacturing (CM) becomes an urgent …

A deep reinforcement learning-based preemptive approach for cost-aware cloud job scheduling

L Cheng, Y Wang, F Cheng, C Liu… - IEEE Transactions on …, 2023‏ - ieeexplore.ieee.org
With some specific characteristics such as elastics and scalability, cloud computing has
become the most promising technology for online business nowadays. However, how to …

Cloud continuum testbeds and next-generation ICTs: Trends, challenges, and perspectives

F Casino, P Lopez-Iturri, C Patsakis - Computer Science Review, 2025‏ - Elsevier
As society's dependence on Information and Communication Technologies (ICTs) grows,
providing efficient and resourceful services entails many complexities that require, among …

Enex: An energy-aware execution scheduler for serverless computing

SH Rastegar, H Shafiei… - IEEE Transactions on …, 2023‏ - ieeexplore.ieee.org
The emerging serverless computing paradigm has recently attracted huge attention from
both academia and industry. It brings benefits, such as less operational complexity, high …

Cost-aware real-time job scheduling for hybrid cloud using deep reinforcement learning

L Cheng, A Kalapgar, A Jain, Y Wang, Y Qin… - Neural Computing and …, 2022‏ - Springer
Hybrid cloud computing enables enterprises to get the best of both private and public cloud
models. One of its primary benefits is to reduce operational costs, and the prerequisite is that …

Imitation learning enabled fast and adaptive task scheduling in cloud

KX Kang, D Ding, HM **e, LH Zhao, YN Li… - Future Generation …, 2024‏ - Elsevier
Studies of resource provision in cloud computing have drawn extensive attention, since
effective task scheduling solutions promise an energy-efficient way of utilizing resources …

An improved YOLOv3-based method for immature apple detection

Z Huang, P Zhang, R Liu, D Li - IECE Transactions on Internet of Things, 2023‏ - iece.org
The identification of immature apples is a key technical link to realize automatic real-time
monitoring of orchards, expert decision-making, and realization of orchard output prediction …