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检索条件"任意字段=9th International Conference on Real-Time and Embedded Computing Systems and Applications"

共 3070 条记录，以下是31-40 订阅

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Energy-saving Processors Two-phases Frequency Reduction Algorithm on Heterogeneous embedded systems 10

Energy-saving Processors Two-phases Frequency Reduction Algo...

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10th IEEE international conference on Cyber Security and Cloud computing and 9th IEEE international conference on Edge computing and Scalable Cloud, CSCloud-EdgeCom 2023

作者： Huang, Weihong Jiang, Kuan Huang, Jing Lisi, Li Xiao, Yufeng Deng, Zihao Hunan University of Science and Technology Hunan Key Laboratory for Service Computing and Novel Software Technology School of Computer Science and Engineering Xiangtan411201 China The Bilingual Experimental School HNSDFZ Changsha410006 China

ISBN: (纸本)9798350312461

Energy saving has become a key issue for heterogeneous embedded systems. Previous energy-saving methods attempt to minimize the energy consumption of applications in heterogeneous embedded systems subject to deadline constraints by reducing the processor frequency. However, good scheduling strategy can also minimize energy consumption to some extent. this paper proposes a novel energy-saving scheduling algorithm, called the Energy-saving Processors Two-phases Frequency Reduction (EPTFR) Algorithm. In the first stage, within the deadline constraints, the maximum working frequency of each processor is reasonably and synchronously reduced;in the second phase, when running sub-applications on the processor, under the constraints of the earliest start time and latest end time of sub-applications, the actual operating frequency of the processor is reasonably reduced. Finally, the effectiveness of the EPTFR algorithm is verified through numerical experiments, and the results show that the proposed EPTFR algorithm can achieve a significant energy-saving effect. © 2023 IEEE.

关键词： Energy conservation

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Edge computing-Enabled Lightweight Deep Neural Network for real-time Video Surveillance in Maritime Cyber-Physical systems 9

Edge Computing-Enabled Lightweight Deep Neural Network for R...

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9th international conference on Intelligent computing and Signal Processing, ICSP 2024

作者： Luo, Caofei Wu, Fumin Xiong, Renhao Xu, Guanhua Liu, Wen Maritime Electronics Research Institute Co. Ltd. Ningbo315040 China College of Information Science and Electronic Engineering Zhejiang University Hangzhou310058 China School of Navigation Wuhan University of Technology Wuhan430063 China

ISBN: (纸本)9798350376548

With the rapid developments of low-end IoT devices and artificial intelligence (AI), the heterogeneous and dynamic data has been increasing drastically, especially in the era of AI-enabled maritime cyber-physical systems (CPS). It is intractable to provide the efficient and flexible computer vision applications through traditional cloud-centric data processing strategies, which commonly suffer from the limitations, e.g., high cost, high- latency communication, and high occupied storage, etc. To meet these challenges, edge computing has meaningfully evolved into a flexible and powerful distributed architecture. It contributes to improvements in bandwidth savings and response time in practical applications. To guarantee efficient video surveillance in AI-powered maritime CPS, the edge computing-based lightweight deep network (termed ShipNet-YOLOv3), incorporated with Kalman filtering and Hungarian algorithm, is proposed to implement real-time detection and tracking of moving ships. In particular, ShipNet-YOLOv3 adopts Darknet-53 as the backbone network (i.e., feature extractor) with three prediction boxes. the channel pruning and fine-tuning strategy are further introduced to balance the trade-off between computational cost, network size, and detection (or tracking) accuracy. Experimental results on both synthetic and realistic scenarios have illustrated that the proposed method could provide superior ship detection and tracking results under different adverse imaging conditions. It thus has the capacity of promoting real-time video surveillance in AI -enabled maritime CPS. © 2024 IEEE.

关键词： Kalman filters

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Edge computing in Electric Vehicles: Enhancing Efficiency and Intelligence 9

Edge Computing in Electric Vehicles: Enhancing Efficiency an...

引用

9th international conference on Communication and Electronics systems, ICCES 2024

作者： Bharathi, S. Tenali, Suman Maddula, Rekharani Kavitha, J. Kanakaprabha, S. Ponnusamy, Muruganantham Malla Reddy Engineering College Department of Eee Telangana Secunderabad India Malla Reddy University School of Engineering Telangana Secunderabad India Gokaraju Lailavathi Womens Engineering College Bachupally Hyderabad India Koneru Lakshmaiah Education Foundation Department of Cse Telangana Hyderabad India Telangana Secunderabad India Indian Institute of Information Technology Kalyani741235 India

ISBN: (纸本)9798350377972

the integration of edge computing in Electric Vehicles (EVs) offers a significant opportunity to enhance vehicle efficiency, intelligence, and the overall user experience. this paper investigates the potential benefits and applications of edge computing in EVs. It will explore various aspects, such as real-time data processing, energy management, autonomous driving, and connectivity. the optimization of energy usage, performance improvement, and enabling advanced features such as predictive maintenance and personalized services can be achieved by leveraging the capabilities of edge computing in Electric Vehicles (EVs). this paper analyzes the main challenges and opportunities of implementing edge computing solutions in electric vehicles (EVs). It also identifies future research directions that can help fully exploit the potential of this emerging technology. © 2024 IEEE.

关键词： Autonomous Driving Connectivity Edge computing Electric Vehicle Energy Management Intelligent Transportation

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Scheduling Strategy to Minimize Makespan for Energy-Efficient Parallel applications in Heterogeneous computing systems 20th

Scheduling Strategy to Minimize Makespan for Energy-Efficien...

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20th international conference on Intelligent computing (ICIC)

作者： Cheng, Lin Wu, Jing Hu, Wei Li, Haodi Chen, Ziyu Wuhan Univ Sci & Technol Coll Comp Sci & Technol Wuhan Peoples R China Hubei Key Lab Intelligent Informat Proc & Real Ti Wuhan Peoples R China

ISBN: (纸本)9789819756742;9789819756759

Energy consumption has emerged as a critical design constraint in heterogeneous computing systems, spanning from small embedded devices to expansive data centers. In this paper, our primary focus is on the challenge of minimizing scheduling lengths for parallel applications within energy-constrained heterogeneous computing environments. Here, the scheduling length denotes the actual time required for a task to reach completion. In this study, we tackle the issue of minimizing energy allocation for unassigned tasks and introduce a novel task scheduling algorithm (EEMM). this algorithm incorporates a weight-based mechanism for pre-assigning energy consumption to unassigned tasks. through a series of experiments conducted on real parallel applications, we consistently observe that the proposed algorithm ensures that the actual energy consumption remains within specified constraints and achieves shorter scheduling lengths. this demonstrates its superior performance. this research offers a valuable solution to the task scheduling problem in energy-constrained heterogeneous computing environments.

关键词： energy consumption scheduling heterogeneous computing systems parallel applications scheduling lengths

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Response-time Analysis of Fault-Tolerant Hard real-time systems under Global Scheduling 29

Response-time Analysis of Fault-Tolerant Hard Real-Time Syst...

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29th IEEE international conference on embedded and real-time computing systems and applications, RTCSA 2023

作者： Gohari, Pourya Voeten, Jeroen Nasri, Mitra Eindhoven Netherlands

ISBN: (纸本)9798350337860

real-time systems are commonly used in safety-critical applications which require tasks to be completed before their deadlines, even in the presence of faults. thus, fault tolerance becomes essential to ensure a certain level of reliability in safety-critical real-time systems [1]. To achieve fault tolerance in computer systems, redundancy can be implemented either in space (spatial redundancy) or time (time redundancy) [2]. Unlike spatial redundancy which involves increasing hardware resources, time redundancy focuses on re-execution or multiple executions of software on the same hardware resources [3] and therefore is better suited for embedded systems with limited cost and size constraints that are subject to transient faults more often than permanent faults [2], [4]. © 2023 IEEE.

关键词： real time systems

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Analyzing Digital Services Across the Compute Continuum Using iFogSim 29

Analyzing Digital Services Across the Compute Continuum Usin...

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29th IEEE international conference on embedded and real-time computing systems and applications, RTCSA 2023

作者： Baneshi, Saeedeh Varbanescu, Ana-Lucia Pathania, Anuj Akesson, Benny Pimentel, Andy University of Amsterdam Parallel Computer Systems SNE Lab Netherlands TNO-ESI Eindhoven Netherlands

ISBN: (纸本)9798350337860

Digital services enable users to interact with a broad range of applications and, as such, have become an essential part of our daily lives. Although convenient, their ubiquity comes at a significant cost in energy, raising sustainability concerns. We access these services by triggering a computing continuum, spanning from the device to the edge, fog, and cloud. Scheduling decisions made at each layer impact the overall quality of service (QoS) and energy consumption of digital services. © 2023 IEEE.

关键词： Quality of service

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Modifiable Artificial DNA - Change Your System's ADNA at Any time 37th

Modifiable Artificial DNA - Change Your System's ADNA at Any...

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37th international conference on Architecture of computing systems (ARCS)

作者： Koschowoj, Aleksey Brinkschulte, Uwe Goethe Univ Frankfurt Frankfurt Germany

ISBN: (纸本)9783031661457;9783031661464

the Artificial DNA (ADNA) and Artificial Hormone System (AHS) together form a middleware that uses Organic computing techniques to improve the robustness and adaptability of distributed embedded systems. these systems then have the properties of self-organization, self-healing, self-configuration and self-improvement. However, the adaptability of the system is limited by the rigidity of the ADNA, since it cannot be modified at runtime. Recent research approaches already assume the existence of a modifiable ADNA in their applications without actually implementing it or evaluating its behavior. In this paper, we present two crucial steps to extend the ADNA with the ability to allow run-time modifications. First, we describe the possible modifications that can be made at runtime, and how they can be implemented without making significant changes to the ADNA implementation. Second, we provide an experimental evaluation of this new feature and contextualize its behavior within the framework of traditional ADNA.

关键词： Artificial DNA Organic computing embedded systems real-time systems

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Cerberus: Privacy-Preserving Crowd Counting and Localisation using Face Detection in Edge Devices 7

Cerberus: Privacy-Preserving Crowd Counting and Localisation...

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7th international Workshop on Edge systems, Analytics and Networking (EdgeSys) Part of ACM EuroSys conference

作者： Brazauskas, Justas Jensen, Chris Danish, Matthew Lewis, Ian Mortier, Richard Univ Cambridge Cambridge England

ISBN: (纸本)9798400705397

Cerberus uses face detection in edge devices to perform privacy-preserving crowd counting and localisation. We describe its deployment in a university setting where ceiling-mounted cameras perform real-time face detection to report occupied seats without storing or transmitting images. Cerberus' aim is ultimately to integrate with digital twins over a LoRa network enabling data visualisation and support applications in building informatics, while balancing data accuracy and individual privacy. the paper describes the system's design, deployment, and potential for broader urban informatics applications, highlighting its effectiveness in privacy-preserving crowd monitoring.

关键词： Ubiquitous computing Human-centered computing Sensor networks embedded systems Security architectures Privacy protection mechanisms Domain-specific security

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Accelerating Permute and N-Gram Operations for Hyperdimensional Learning in embedded systems 29

Accelerating Permute and N-Gram Operations for Hyperdimensio...

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29th IEEE international conference on embedded and real-time computing systems and applications, RTCSA 2023

作者： Vergés, Pere Nunes, Igor Heddes, Mike Givargis, Tony Nicolau, Alexandru University of California Department of Computer Science Irvine United States

ISBN: (纸本)9798350337860

Hyperdimensional computing (HDC) is a novel computing framework that has gained significant attention for its ability to accelerate machine learning algorithms. Its fast learning and inference capabilities make it an ideal technique for various fields, including machine learning. HDC utilizes high-dimensional holographic vectors, which are vectors with independent and identically distributed dimensions, to represent information. this unique representation allows HDC to leverage highly parallelizable arithmetic operations such as bundling, binding and permute. these simple and highly optimizable operations make HDC an efficient framework for classification in embedded systems. HDC has demonstrated remarkable accuracy in learning patterns from sequenced data. In this paper, we propose a method to enhance the permute operation, which is crucial for maintaining the order of symbols or measures in real-time data. Our method enhances the efficiency of HDC's permute operations by a factor of 10×. Furthermore, by applying the same idea to n-gram encoding, we achieve a speedup of 14×, resulting in up to 26.8× speedup on a real application, compared to a state-of-the-art HDC prototyping library. To achieve this improvement, we utilized SIMD operations and shifted entire SIMD data blocks rather than individual elements. As a result, we demonstrate that real-time inference can be conducted rapidly in applications that are utilized in embedded systems with constrained computational and memory resources, such as those for recognizing emotions, gestures, and language. © 2023 IEEE.

关键词： embedded systems

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Analyzing the Performance of 5G Enabled embedded Sensor Networks: Proof-of-Function 9

Analyzing the Performance of 5G Enabled Embedded Sensor Netw...

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9th international conference on Information Technology and Digital applications, ICITDA 2024

作者： Jun, Chai Jia Yogarayan, Sumendra Razak, Siti Fatimah Abdul Abdullah, Mohd. Fikri Azli Faculty of Information Science and Technology Melaka Malaysia

ISBN: (纸本)9798331510732

the fifth generation of cellular technology, known as 5G, marks a substantial evolution beyond the fourth generation (4G) standards, offering advancements in speed, connectivity, and overall performance. this research addresses the subject of evaluating 5G's practical implementation in sensor networks, which is fundamental for understanding the real-world applicability. the study explores the practical implementation of a 5G embedded sensor network, focusing on understanding how the network operates, assessing its performance, and identifying potential limitations using hardware components such as Raspberry Pi 3 and DHT22 sensors. the study reveals that while 5G technology offers improvements, different accessibility to the frequency bands across various locations can influence network performance. this variability may affect the widespread deployment and acceptance of 5G sensor networks. Despite these challenges, the research demonstrates that 5G technology can maintain low latency and stable throughput, demonstrating the potential to improve real-time applications and provide reliable data transfer in different environments. © 2024 IEEE.

关键词： 5G mobile communication systems

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