Robotics & Machine Learning Daily News2024,Issue(Jun.20) :15-15.

Reports from Malardalen University Advance Knowledge in Robotics (Evaluation of Storage Placement In Computing Continuum for a Robotic Application)

Malardalen大学的报告机器人高级知识(评估机器人应用程序在计算连续体中的存储放置)

Robotics & Machine Learning Daily News2024,Issue(Jun.20) :15-15.

Reports from Malardalen University Advance Knowledge in Robotics (Evaluation of Storage Placement In Computing Continuum for a Robotic Application)

Malardalen大学的报告机器人高级知识(评估机器人应用程序在计算连续体中的存储放置)

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摘要

Robotics&Machine Learning Daily News Daily News的新闻记者兼工作人员新闻编辑详细介绍了Robotics S中的新数据。根据NewsRx Corr Espondents从瑞典Vasteras发布的新闻报道,Research称:“本文分析了为工业试验控制应用中基于分布式容器的体系结构设计的PE存储的定时性能,并使用N个它反映了我们的测试平台规格。这项研究的资助者包括马拉达伦大学,欧盟(EU),Vin Nova。我们的新闻编辑引用了马拉达伦大学的一项研究:“即使在存在故障的情况下,存储也能确保数据的可用性和一致性。分析考虑了四个方面:1.放置策略,2.设计方案,3.数据大小和4.故障条件下的评估。在工业应用中考虑时间限制的实验结果表明,存储解决方案能够满足关键的截止日期。”比较结果还表明,在无故障的情况下,该方法可能不能满足当前集中式解决方案的要求,但在故障情况下,它的性能优于传统集中式解决方案.

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Robotic s. According to news reporting originating from Vasteras, Sweden, by NewsRx corr espondents, research stated, "This paper analyzes the timing performance of a pe rsistent storage designed for distributed container-based architectures in indus trial control applications. The timing performance analysis is conducted using a n in-house simulator, which mirrors our testbed specifications." Funders for this research include Mlardalen University, European Union (EU), Vin nova. Our news editors obtained a quote from the research from Malardalen University, "The storage ensures data availability and consistency even in presence of fault s. The analysis considers four aspects: 1. placement strategy, 2. design options , 3. data size, and 4. evaluation under faulty conditions. Experimental results considering the timing constraints in industrial applications indicate that the storage solution can meet critical deadlines, particularly under specific failur e patterns. Comparison results also reveal that, while the method may underperfo rm current centralized solutions in fault-free conditions, it outperforms the ce ntralized solutions in failure scenario."

Key words

Vasteras/Sweden/Europe/Emerging Techn ologies/Machine Learning/Robotics/Robots/Malardalen University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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