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相关概念视频

Distributed Loads01:19

Distributed Loads

950
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.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
950
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.1K
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...
1.1K
Relation Between the Distributed Load and Shear01:23

Relation Between the Distributed Load and Shear

1.1K
Understanding the relationship between the distributed load and shear force in structural analysis is crucial for analyzing beams subjected to various loading conditions. Consider the case of a beam experiencing a distributed load, two concentrated loads, and a couple moment.
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Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

593
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
593
Elastic Curve from the Load Distribution01:16

Elastic Curve from the Load Distribution

498
The structural behavior of beams under distributed loads is critical for engineering analysis, which focuses on predicting how beams bend and react under such conditions. Different types of beams (e.g., cantilever, supported, or overhanging) behave differently under distributed load conditions.
For all beams, the analysis of the beam's reaction to distributed loads begins by understanding the relationship between a beam's load and the resulting shear forces and bending moments. Initially, this...
498
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

728
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
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相关实验视频

Updated: Jan 18, 2026

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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一个适应的应用程序意识的动态负载平衡框架,用于开源SD-WAN.

Teodor Petrović1, Aleksa Vidaković1, Ilija Doknić2

  • 1Faculty of Informatics and Computing, Singidunum University, 11000 Belgrade, Serbia.

Sensors (Basel, Switzerland)
|September 13, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了软件定义广域网 (SD-WAN) 的应用意识动态负载平衡 (AADLB) 框架. AADLB通过根据应用需求和实时条件动态调整流量分配来提高网络性能和稳定性.

关键词:
在 SD-WAN 系统中使用 SD-WAN.基于应用程序的网络化.动态负载平衡的动态负载平衡开源SDN是一个开源SDN.性能优化 优化 性能优化

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科学领域:

  • 计算机科学 计算机科学
  • 网络工程 网络工程
  • 分布式系统 分布式系统

背景情况:

  • 传统的软件定义广域网 (SD-WAN) 由于缺乏自适应负载平衡,导致流量分配效率低下.
  • 这导致延迟时间增加,性能下降,资源利用率低于最佳.

研究的目的:

  • 为开源SD-WAN环境提供一个应用程序意识的动态负载平衡 (AADLB) 框架.
  • 实现动态流量路由,同时考虑实时网络性能和特定应用程序的要求.

主要方法:

  • 为SD-WAN开发了一个AADLB框架.
  • 实现了基于启发式的动态权重分配算法,用于在多云环境中重新分配流量.
  • 将AADLB与传统负载平衡算法 (WRR,WFQ,PQ,DRR) 进行比较.

主要成果:

  • 通过AADLB,CPU利用率提高了8.40%,CPU稳定性提高了76.66%.
  • 存储器使用稳定性增加了6.97%,平均延迟减少了2.58%,延迟一致性提高了16.74%.
  • 该框架有效地缓解了拥堵,提高了系统的响应能力.

结论:

  • 与传统方法相比,AADLB框架在网络性能和稳定性方面提供了显著的改善.
  • 针对应用程序的动态负载平衡增强了SD-WAN的可扩展性,优化了带宽,并降低了运营成本.
  • AADLB为专有SD-WAN解决方案提供了一个具有成本效益和可扩展性的替代方案.