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- research-articleAugust 2024
A conflict-free CAN-to-TSN scheduler for CAN-TSN gateway
Journal of Systems Architecture: the EUROMICRO Journal (JOSA), Volume 153, Issue Chttps://doi.org/10.1016/j.sysarc.2024.103188AbstractThe automotive Electrical/Electronic (E/E) architecture with Time-Sensitive Networking (TSN) as the backbone network and Controller Area Network (CAN) as the intra-domain network has attracted extensive research attention. In this architecture, ...
- research-articleJune 2024
Real-time scheduling for parallel tasks with resource reclamation
AbstractThis paper considers the real-time scheduling of a parallel task with reclaiming computing resources, which can be utilized for soft real-time tasks or switching to low-energy mode to save energy. Existing works allocate a rectangular piece of ...
- research-articleApril 2024
Optimization of uncertain dependent task mapping on heterogeneous computing platforms
The Journal of Supercomputing (JSCO), Volume 80, Issue 11Pages 15868–15893https://doi.org/10.1007/s11227-024-06032-wAbstractDependent tasks are typically modeled using directed acyclic graphs (DAGs), and scheduling algorithms based on DAGs have been extensively researched. Most of the existing algorithms assume that the task or communication duration is deterministic. ...
- research-articleJanuary 2024
Energy-Aware Adaptive Mixed-Criticality Scheduling with Semi-Clairvoyance and Graceful Degradation
ACM Transactions on Embedded Computing Systems (TECS), Volume 23, Issue 1Article No.: 11, Pages 1–20https://doi.org/10.1145/3632749The classic Mixed-Criticality System (MCS) task model is a non-clairvoyance model in which the change of the system behavior is based on the completion of high-criticality tasks while dropping low-criticality tasks in high-criticality mode. In this paper, ...
- research-articleOctober 2023
Real-time multi-factory scheduling in Industry 4.0 with virtual alliances
Engineering Applications of Artificial Intelligence (EAAI), Volume 125, Issue Chttps://doi.org/10.1016/j.engappai.2023.106636AbstractThe ever-changing and dynamic market environment requires applying job shop systems based on real-time data. The establishment of physical-virtual systems in the production process has led to the emergence of intelligent factories. ...
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- research-articleAugust 2023
A survey on real-time DAG scheduling, revisiting the Global-Partitioned Infinity War
AbstractModern cyber-physical embedded systems are characterized by a range of intricate functionalities that are subject to tight timing constraints. Unfortunately, traditional sequential task models and uniprocessors solutions are not suitable for this ...
- research-articleJuly 2023
Safe reinforcement learning method integrating process knowledge for real-time scheduling of gas supply network
Information Sciences: an International Journal (ISCI), Volume 633, Issue CPages 280–304https://doi.org/10.1016/j.ins.2023.02.084AbstractGas supply networks play a crucial role in steel enterprises because they provide downstream customers with the gas required for production. In this paper, the real-time scheduling problem of a multi-product gas supply network is first modeled ...
- research-articleJune 2023
Generalized self-cueing real-time attention scheduling with intermittent inspection and image resizing
- Shengzhong Liu,
- Xinzhe Fu,
- Yigong Hu,
- Maggie Wigness,
- Philip David,
- Shuochao Yao,
- Lui Sha,
- Tarek Abdelzaher
AbstractThis paper proposes a generalized self-cueing real-time attention scheduling framework for DNN-based visual machine perception pipelines on resource-limited embedded platforms. Self-cueing means we identify subframe-level regions of interest in a ...
- research-articleJune 2023
Efficient CUDA stream management for multi-DNN real-time inference on embedded GPUs
Journal of Systems Architecture: the EUROMICRO Journal (JOSA), Volume 139, Issue Chttps://doi.org/10.1016/j.sysarc.2023.102888AbstractDeep Neural Networks (DNNs) are widely used in Cyber–Physical Systems (CPS) that often involve multiple DNN tasks with varying real-time requirements. These tasks need to be deployed on a single embedded hardware platform with limited resources, ...
- research-articleMay 2023
The shape of a DAG: bounding the response time using long paths
AbstractIn 1969, Graham developed a well-known response time bound for a DAG task using the total workload and the longest path of the DAG, which has been widely applied to solve many scheduling and analysis problems of DAG-based task systems. This paper ...
- research-articleApril 2023
DVFS-based energy-aware scheduling of imprecise mixed-criticality real-time tasks
Journal of Systems Architecture: the EUROMICRO Journal (JOSA), Volume 137, Issue Chttps://doi.org/10.1016/j.sysarc.2023.102849AbstractEnergy-aware mixed-criticality (MC) real-time scheduling has attracted the attention of many researchers. However, they only focus on the conventional MC task model, in which all low-criticality (LO) tasks are discarded in the high-...
- research-articleJanuary 2023
Energy aware fixed priority scheduling in mixed-criticality systems
AbstractMost of studies about energy management for MC systems are based on dynamic priority scheme. The disadvantages of dynamic priority scheme are high system overhead and poor predictability. Unlike previous studies, we focus on the ...
Highlights- Energy aware fixed priority scheduling in mixed-criticality systems is considered.
- research-articleDecember 2022
Digital-twin based real-time resource allocation for hull parts picking and processing
Journal of Intelligent Manufacturing (SPJIM), Volume 35, Issue 2Pages 613–632https://doi.org/10.1007/s10845-022-02065-1AbstractThe development of Industrial Internet of Things, big data, and multi-domain modeling, led to the emergence of digital twin (DT), providing a new approach to the cyber-physical production systems. In the traditional shipbuilding industry, a large ...
- research-articleDecember 2022
Cost-sharing games in real-time scheduling systems
International Journal of Game Theory (IJGT), Volume 52, Issue 1Pages 273–301https://doi.org/10.1007/s00182-022-00819-yAbstractWe apply non-cooperative game theory to analyze the server’s activation cost in real-time scheduling systems. An instance of the game consists of a single server and a set of unit-length jobs. Every job needs to be processed along a specified time ...
- research-articleDecember 2022
Real-time task scheduling with image resizing for criticality-based machine perception
AbstractThis paper extends a previous conference publication that proposed a real-time task scheduling framework for criticality-based machine perception, leveraging image resizing as the tool to control the accuracy and execution time trade-off. ...
- research-articleDecember 2022
A multi-level AI-based scheduler to increase adaptiveness in time-constrained mobile communication environments
Natural Computing: an international journal (NATC), Volume 21, Issue 4Pages 525–535https://doi.org/10.1007/s11047-020-09813-3AbstractScheduling is one of the classic problems in real-time adaptive systems. Due to the complex nature of these applications, the implementation of some sort of run-time intelligence is required, in order to build intelligent systems capable of ...
- research-articleOctober 2022
TSN-based routing and scheduling scheme for Industrial Internet of Things in underground mining
Engineering Applications of Artificial Intelligence (EAAI), Volume 115, Issue Chttps://doi.org/10.1016/j.engappai.2022.105314AbstractRecently, there has been a growing interest in Time-Sensitive Networking (TSN) research in the Industrial Internet of Things(IIoT). The research on real-time and reliable IIoT transmission technology based on TSN has received extensive ...
- research-articleOctober 2022
Real-time scheduling for distributed permutation flowshops with dynamic job arrivals using deep reinforcement learning
Advanced Engineering Informatics (ADEI), Volume 54, Issue Chttps://doi.org/10.1016/j.aei.2022.101776Highlights- The dynamic distributed permutation flowshop scheduling problem (DPFSP) is studied.
Distributed manufacturing plays an important role for large-scale companies to reduce production and transportation costs for globalized orders. However, how to real-timely and properly assign dynamic orders to distributed workshops is ...
- research-articleSeptember 2022
Using real-time manufacturing data to schedule a smart factory via reinforcement learning
Computers and Industrial Engineering (CINE), Volume 171, Issue Chttps://doi.org/10.1016/j.cie.2022.108406Highlights- Design a cyber-physical architecture and scheduling mechanism for smart factory.
Under the background of intelligent manufacturing, internet of things and other information technologies have accumulated a large amount of data for manufacturing system. However, the traditional scheduling methods often ignore the ...
- research-articleAugust 2022
Design and analyses of functional mode changes for mixed-criticality systems
AbstractIn this paper, we propose a new model for mixed-criticality systems (MCS) that can adapt to system overload scenarios due to the occurrence of two known phenomena. First, budget overrun of tasks due to their imprecise budget estimations which is a ...