2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC)最新文献

Reducing Peak Temperature by Redistributing Idle-Time in Modern MPSoCs 通过重新分配空闲时间来降低现代mpsoc的峰值温度

2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC) Pub Date : 2023-05-01 DOI: 10.1109/ISORC58943.2023.00020

Ondřej Benedikt, Javier Pérez-Rodríguez, P. Yomsi, M. Sojka

{"title":"Reducing Peak Temperature by Redistributing Idle-Time in Modern MPSoCs","authors":"Ondřej Benedikt, Javier Pérez-Rodríguez, P. Yomsi, M. Sojka","doi":"10.1109/ISORC58943.2023.00020","DOIUrl":"https://doi.org/10.1109/ISORC58943.2023.00020","url":null,"abstract":"Reducing heat dissipation is critical for modern multi-core systems to meet increasing computational performance requirements. In this paper, we investigate the impact of idle-time distribution on the peak temperature of Multi-processor System-on-Chip (MPSoCs) for the constrained-deadline non-preemptive task scheduling problem that is common in safety-critical systems. It is assumed that the transient thermal behavior of the platform cannot be neglected and must be modeled and accounted for by the optimization algorithms. In this context, we derive a dual-node thermal model that can be well applied to a dual-cluster i.MX8 QuadMax from NXP. Based on this model, we implement two offline optimization-based strategies, including an iterative per-core approach based on the principles presented in the related literature and a novel holistic approach. The results show that the per-core approach and the holistic approach reduce the peak temperature by 7.1% and 14% on average compared to the traditional non-thermal approach. We perform the experiments on the i.MX8 QuadMax platform to validate the applicability of the results and observe a good match between the model-based simulations and the actual physical platform measurements.","PeriodicalId":281426,"journal":{"name":"2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122928806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A collaborative and distributed task management system for real-time systems 面向实时系统的协同分布式任务管理系统

2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC) Pub Date : 2023-05-01 DOI: 10.1109/ISORC58943.2023.00024

Maria J. P. Peixoto, Akramul Azim

引用次数: 0

Variable Window and Deadline-Aware Sensor Attack Detector for Automotive CPS 汽车CPS可变窗口和截止日期感知传感器攻击检测器

2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC) Pub Date : 2023-05-01 DOI: 10.1109/ISORC58943.2023.00018

Francis Akowuah, Kenneth Fletcher, Fanxin Kong

{"title":"Variable Window and Deadline-Aware Sensor Attack Detector for Automotive CPS","authors":"Francis Akowuah, Kenneth Fletcher, Fanxin Kong","doi":"10.1109/ISORC58943.2023.00018","DOIUrl":"https://doi.org/10.1109/ISORC58943.2023.00018","url":null,"abstract":"Cyber-physical systems (CPS) are susceptible to physical attacks, and researchers are exploring ways to detect them. One method involves monitoring the system for a set duration, known as the time-window, and identifying residual errors that exceed a predetermined threshold. However, this approach means that any sensor attack alert can only be triggered after the time-window has elapsed. The length of the time-window affects the detection delay and the likelihood of false alarms, with a shorter time-window leading to quicker detection but a higher false positive rate, and a longer time-window resulting in slower detection but a lower false positive rate.While researchers aim to choose a fixed time-window that balances a low false positive rate and short detection delay, this goal is difficult to attain due to a trade-off between the two. An alternative solution proposed in this paper is to have a variable time-window that can adapt based on the current state of the CPS. For instance, if the CPS is heading towards an unsafe state, it is more crucial to reduce the detection delay (by decreasing the time-window) rather than reducing the false alarm rate, and vice versa. The paper presents a sensor attack detection framework that dynamically adjusts the time-window, enabling attack alerts to be triggered before the system enters dangerous regions, ensuring timely detection. This framework consists of three components: attack detector, state predictor, and window adaptor. We have evaluated our work using real-world data, and the results demonstrate that our solution improves the usability and timeliness of time-window-based attack detectors.","PeriodicalId":281426,"journal":{"name":"2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC)","volume":"23 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132605168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Managing and Optimizing 5G & Beyond Network Resources for Multi-Task Digital Twin Applications in Industry 4.0 管理和优化工业4.0中多任务数字孪生应用的5G及其他网络资源

2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC) Pub Date : 2023-05-01 DOI: 10.1109/ISORC58943.2023.00039

Ziran Min, Shuang Zhou, Zhuangwei Kang, Shashank Shekhar, C. Mahmoudi, A. Gokhale, A. Gokhale

引用次数: 0

Fault Tolerance in Real-Time Cloud Computing 实时云计算中的容错

2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC) Pub Date : 2023-05-01 DOI: 10.1109/ISORC58943.2023.00031

Luca Abeni, Remo Andreoli, H. Gustafsson, R. Mini, T. Cucinotta

引用次数: 1

Workshop Committee 车间委员会

2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC) Pub Date : 2023-05-01 DOI: 10.1109/isorc58943.2023.00011

引用次数: 0

Clustering Weather Time Series used for Agricultural Disease Alert Systems in Florida 用于佛罗里达州农业疾病警报系统的聚类天气时间序列

2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC) Pub Date : 2023-05-01 DOI: 10.1109/ISORC58943.2023.00029

M. A. D. Oliveira, G. H. Cavalheiro, Vinícius A. Cerbaro, C. Fraisse

{"title":"Clustering Weather Time Series used for Agricultural Disease Alert Systems in Florida","authors":"M. A. D. Oliveira, G. H. Cavalheiro, Vinícius A. Cerbaro, C. Fraisse","doi":"10.1109/ISORC58943.2023.00029","DOIUrl":"https://doi.org/10.1109/ISORC58943.2023.00029","url":null,"abstract":"Meteorological observations are widely used as input for disease alert systems in agriculture. In Florida, USA, the AgroClimate Advisory Systems provide disease alerts to growers of various crops, including strawberries, blueberries, and citrus. Data observed in weather stations belonging to FAWN (Florida Automated Weather Network) are used to simulate disease risk, and growers are notified when environmental conditions are favorable for infection, helping them decide when to spray for prevention. However, observation problems in weather stations, such as sensor or communication failures, can compromise the reliability of these applications, which unfortunately are common in this context. Thus, this work explores the clustering of temperature and relative humidity data, in time series format, as a way to monitor the quality of the information provided by two plant disease alert systems. An approach based on clustering was used to group Florida weather stations according to their microclimate characteristics. The elbow and silhouette methods were used to help find the optimal number of clusters, found to be 3. The K-Means algorithm was used with multivariate time series to group the weather stations. Then, an improvement was proposed to flag suspicious observations and early identify inconsistent measurements, increasing the reliability of the system.","PeriodicalId":281426,"journal":{"name":"2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124740005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Blockchain-enabled Digital Twin Technology for Next-Generation Transportation Systems 基于区块链的下一代交通系统数字孪生技术

2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC) Pub Date : 2023-05-01 DOI: 10.1109/ISORC58943.2023.00040

Sourav Banerjee, Debashis Das, Pushpita Chatterjee, Uttam Ghosh

{"title":"Blockchain-enabled Digital Twin Technology for Next-Generation Transportation Systems","authors":"Sourav Banerjee, Debashis Das, Pushpita Chatterjee, Uttam Ghosh","doi":"10.1109/ISORC58943.2023.00040","DOIUrl":"https://doi.org/10.1109/ISORC58943.2023.00040","url":null,"abstract":"A digital twin (DT) is a virtual replica of a physical system that allows simulation, optimization, and predictive maintenance. Its challenges include the need for accurate and up-to-date data as well as the complexity of integrating different systems and technologies. This paper explores the potential of combining digital twin and blockchain technologies to create next-generation transportation systems that are more efficient, secure, and sustainable. DTs can be used to simulate and optimize transportation operations and maintenance, while blockchain can enhance security and transparency in data exchange and transaction verification. By integrating these technologies, transportation systems can become more resilient, adaptable, and responsive to changing demands and challenges. This paper provides an overview of the key concepts and applications of DTs and blockchain in transportation, including use cases such as autonomous vehicles, smart logistics, and mobility as a service. It also discusses the technical and organizational challenges of implementing these technologies and suggests potential solutions and research directions. Specifically, this paper argues that DT and blockchain technologies have the potential to transform transportation systems into more efficient, sustainable, and equitable systems that can meet the needs of present and future generations.","PeriodicalId":281426,"journal":{"name":"2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125858851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Three-Tier Incremental Approach for Development of Smart Corridor Digital Twins 智能走廊数字孪生体发展的三层增量方法

2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC) Pub Date : 2023-05-01 DOI: 10.1109/ISORC58943.2023.00038

Abhilasha J. Saroj, M. Hunter, Somdut Roy, Angshuman Guin

{"title":"A Three-Tier Incremental Approach for Development of Smart Corridor Digital Twins","authors":"Abhilasha J. Saroj, M. Hunter, Somdut Roy, Angshuman Guin","doi":"10.1109/ISORC58943.2023.00038","DOIUrl":"https://doi.org/10.1109/ISORC58943.2023.00038","url":null,"abstract":"Development of an arterial smart corridor digital twin requires the integration of real time data streams, data storage, and simulation model execution. This process may be complex, time consuming, and susceptible to errors. To aid in smart corridor digital twin development this paper seeks to provide a framework, best practices, and development guidance. As such, a three-tier incremental approach to smart corridor digital twin development is presented. The paper highlights practical issues in digital twin construction along with key data challenges based on experiences from the development of digital twins for two large Smart Corridor deployments, one in Chattanooga, Tennessee, and the other in Atlanta, Georgia. The presented three-tier incremental approach includes: 1) development of a prepopulated offline simulation, 2) development of a pseudo digital twin that is driven by archived data, and 3) integration of real time data streams to create the online digital twin model. The three-tiered approach facilitates conducting multiple trials and scenarios with increasing complexity, allowing for incremental error processing and updating of the digital twin.","PeriodicalId":281426,"journal":{"name":"2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126703377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robust Deep Learning based Speed Bump Detection for Autonomous Vehicles in Indian Scenarios 基于鲁棒深度学习的印度场景自动驾驶车辆减速带检测

2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC) Pub Date : 2023-05-01 DOI: 10.1109/ISORC58943.2023.00036

Palli Venkata Aishwarya, D. S. Reddy, Dinesh Kumar Sonkar, Poluri Nikhil Koundinya, P. Rajalakshmi

{"title":"Robust Deep Learning based Speed Bump Detection for Autonomous Vehicles in Indian Scenarios","authors":"Palli Venkata Aishwarya, D. S. Reddy, Dinesh Kumar Sonkar, Poluri Nikhil Koundinya, P. Rajalakshmi","doi":"10.1109/ISORC58943.2023.00036","DOIUrl":"https://doi.org/10.1109/ISORC58943.2023.00036","url":null,"abstract":"This paper presents a vision-based approach for detecting speed bumps, which is crucial for enabling safe and efficient speed control in autonomous vehicles. Given the diverse range of speed bump sizes and characteristics encountered in Indian scenarios, a robust detection algorithm is required. To this end, we evaluate two state-of-the-art deep learning based object detection models, Faster R-CNN and YOLOv5, and compare their performance. Our study specifically focuses on detecting both marked and unmarked speed bumps in real world environments. However, we also address the challenge of misclassifying pedestrian crosswalks, which can be mistaken for speed bumps due to their similar features. To enhance the accuracy of detecting marked speed bumps, we employ the Negative Sample Training (NST) method. The results show that training with NST improved the detection performance of both Faster R-CNN and YOLOv5 models, achieving an average precision increase of $ 5.58%$ and $ 2.3%$, respectively, for marked speed bump detection. Furthermore, we conduct real-time testing of the proposed model on the NVIDIA Jetson platform, which yields an inference speed of $18.5mathrm{~ms}$ per frame.","PeriodicalId":281426,"journal":{"name":"2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131450269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0