Results 201 to 210 of about 2,921,227 (257)

Reinforcement Learning for Real-Time Pricing and Scheduling Control in EV Charging Stations

IEEE Transactions on Industrial Informatics, 2021
This article proposes a reinforcement-learning (RL) approach for optimizing charging scheduling and pricing strategies that maximize the system objective of a public electric vehicle (EV) charging station.
Shuoyao Wang, Suzhi Bi, Y. Zhang
semanticscholar   +1 more source

LaLaRAND: Flexible Layer-by-Layer CPU/GPU Scheduling for Real-Time DNN Tasks

IEEE Real-Time Systems Symposium, 2021
Deep neural networks (DNNs) have shown remarkable success in various machine-learning (ML) tasks useful for many safety-critical, real-time embedded systems.
Woosung Kang, Kilho Lee, Jinkyu Lee, I. Shin, H. Chwa   +4 more
semanticscholar   +1 more source

Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms

IEEE Real Time Technology and Applications Symposium, 2019
With the growth of computation-intensive real-time applications on multi-core embedded systems, energy-efficient real-time scheduling becomes crucial.
Zhishan Guo, Ashikahmed Bhuiyan, Di Liu, Aamir Khan, Abusayeed Saifullah, Nan Guan   +5 more
semanticscholar   +1 more source

Real-Time Scheduling in Drop Computing

2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2021
The IoT world evolves at a tremendously fast rate, leaving some of the currently employed technologies behind. The modern day user has more and more expectations: high availability and performance, low energy consumption and high privacy standards.
Silvia-Elena Nistor, George-Mircea Grosu, Raluca-Maria Hampau, Radu-Ioan Ciobanu, Florin Pop, Ciprian Mihai Dobre, Pawel Szynkiewicz   +6 more
openaire   +1 more source

DistributedHART: A Distributed Real-Time Scheduling System for WirelessHART Networks

IEEE Real Time Technology and Applications Symposium, 2019
Industry 4.0 is a new industry trend which relies on data driven business model to set the productivity requirements of the cyber physical system. To meet this requirement, Industry 4.0 cyber physical systems need to be highly scalable, adaptive, real ...
V. P. Modekurthy, Abusayeed Saifullah, S. Madria   +2 more
semanticscholar   +1 more source

Uncertainty-Aware Online Scheduling for Real-Time Workflows in Cloud Service Environment

IEEE Transactions on Services Computing, 2021
Scheduling workflows in cloud service environment has attracted great enthusiasm, and various approaches have been reported up to now. However, these approaches often ignored the uncertainties in the scheduling environment, such as the uncertain task ...
Huangke Chen, Xiaomin Zhu, Guipeng Liu, W. Pedrycz   +3 more
semanticscholar   +1 more source

Energy-Efficient Real-Time Scheduling of DAG Tasks

ACM Transactions on Embedded Computing Systems, 2018
This work studies energy-aware real-time scheduling of a set of sporadic Directed Acyclic Graph (DAG) tasks with implicit deadlines. While meeting all real-time constraints, we try to identify the best task allocation and execution pattern such that the ...
Ashikahmed Bhuiyan, Zhishan Guo, Abusayeed Saifullah, Nan Guan, Haoyi Xiong   +4 more
semanticscholar   +1 more source

ROSCH:Real-Time Scheduling Framework for ROS

IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2018
This paper presents a real-time scheduling framework for the robot operating system (ROS) called ROSCH. ROS is an open-source software platform and a meta-operating system designed for robots.
Yukihiro Saito, Futoshi Sato, Takuya Azumi, Shinpei Kato, N. Nishio   +4 more
semanticscholar   +1 more source

A Real Time Scheduler/Dispatcher

2018
Real-time systems often spend an inordinate amount of time getting ready to do things in the future and deciding what to do next. Designating a task to be performed at some time in the future, or scheduling, and finding the next task to be run, or dispatching, typically take a total time which is linear in the number of waiting tasks.
openaire   +2 more sources

Real-time scheduling in video systems

Proceedings of 5th International Workshop on Parallel and Distributed Real-Time Systems and 3rd Workshop on Object-Oriented Real-Time Systems, 2002
We consider the problem of mapping video algorithms onto systems of high-performance video signal processors with hard real-time constraints. The mapping problem under consideration is computationally hard due to the many constraints that need to be satisfied. We present a compact mathematical formulation which identifies the decision variables and the
de Kock, E.A., Aarts, E.H.L., Essink, G.
openaire   +3 more sources