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Related Concept Videos

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...
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Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

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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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Relation Between the Distributed Load and Shear01:23

Relation Between the Distributed Load and Shear

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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

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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...
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Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

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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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An Adaptive Application-Aware Dynamic Load Balancing Framework for Open-Source SD-WAN.

Teodor Petrović1, Aleksa Vidaković1, Ilija Doknić2

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

Sensors (Basel, Switzerland)
|September 13, 2025
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Summary
This summary is machine-generated.

This study introduces an Application-Aware Dynamic Load Balancing (AADLB) framework for Software-Defined Wide Area Networks (SD-WAN). AADLB enhances network performance and stability by dynamically adjusting traffic distribution based on application needs and real-time conditions.

Keywords:
SD-WANapplication-aware networkingdynamic load balancingopen-source SDNperformance optimization

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Area of Science:

  • Computer Science
  • Network Engineering
  • Distributed Systems

Background:

  • Traditional Software-Defined Wide Area Networks (SD-WAN) suffer from inefficient traffic distribution due to a lack of adaptive load-balancing.
  • This leads to increased latency, performance degradation, and suboptimal resource utilization.

Purpose of the Study:

  • To present an Application-Aware Dynamic Load Balancing (AADLB) framework for open-source SD-WAN environments.
  • To enable dynamic traffic routing that considers both real-time network performance and application-specific requirements.

Main Methods:

  • Developed an AADLB framework for SD-WAN.
  • Implemented a heuristic-based dynamic weight assignment algorithm for traffic redistribution in multi-cloud settings.
  • Compared AADLB against traditional load-balancing algorithms (WRR, WFQ, PQ, DRR).

Main Results:

  • AADLB improved CPU utilization by 8.40% and CPU stability by 76.66%.
  • RAM utilization stability increased by 6.97%, average latency decreased by 2.58%, and latency consistency improved by 16.74%.
  • The framework effectively mitigated congestion and enhanced system responsiveness.

Conclusions:

  • The AADLB framework offers significant improvements in network performance and stability over traditional methods.
  • Application-aware dynamic load balancing enhances SD-WAN scalability, optimizes bandwidth, and reduces operational costs.
  • AADLB presents a cost-effective, scalable alternative to proprietary SD-WAN solutions.