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相关概念视频

Distributed Loads01:19

Distributed Loads

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Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
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Distributed Loads: Problem Solving01:21

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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
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Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
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The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
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EOTE-FSC:对于雾智能城市而言,高效的卸载任务执行能够实现智能城市.

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  • 1Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad, Pakistan.

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概括
此摘要是机器生成的。

本研究介绍了用于雾智能城市 (EOTE - FSC) 系统的高效卸载任务执行. EOTE - FSC在雾节点之间平衡任务负载,显著减少执行时间,并优先考虑智能城市应用程序的高需求任务.

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科学领域:

  • 计算机科学 计算机科学
  • 信息技术 信息技术 信息技术
  • 智慧城市技术 智慧城市技术

背景情况:

  • 智慧城市利用信息和通信技术 (ICT) 改善城市生活.
  • 智能城市的物联网 (IoT) 传感器网络面临处理限制,需要任务卸载.
  • 雾计算节点是为了减少任务执行的延迟而引入的,但它面临着不均的任务分配和优先级的挑战.

研究的目的:

  • 为雾智能城市 (EOTE - FSC) 框架提出一个高效的卸载任务执行.
  • 为了应对在雾计算节点之间不平衡的任务分配的挑战.
  • 优化高优先级任务在截止日期内执行.

主要方法:

  • 通过修改贪的算法来有效分配任务,开发了一个负载平衡机制.
  • 实施了修改后的任务序列算法,并为雾节点设置了截止日期.
  • 比较EOTE - FSC的负载平衡与Round Robin,Greedy及其变体.
  • 评估了EOTE-FSC的任务执行与先来先服务 (FCFS) 算法相比.

主要成果:

  • 与传统算法相比,EOTE-FSC可将雾节点的最大负载降低高达29%.
  • 实现了最大雾结负荷的显著降低:27.3%与Greedy相比,23%与RR-LJF相比,以及24.4%与RR-SJF相比.
  • 与FCFS相比,在截止日期内成功执行了更多的优先任务.

结论:

  • 拟议的EOTE-FSC有效地平衡了智能城市环境中的雾节点之间的任务负载.
  • EOTE - FSC提高了整体任务执行效率,并优先考虑关键任务.
  • 这种方法有助于更具响应性和可靠的智能城市基础设施.