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Related Concept Videos

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

647
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...
647
Distributed Loads01:19

Distributed Loads

538
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...
538
Relation Between the Distributed Load and Shear01:23

Relation Between the Distributed Load and Shear

643
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.
643
Elastic Curve from the Load Distribution01:16

Elastic Curve from the Load Distribution

180
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.
180
Beams with Symmetric Loadings01:15

Beams with Symmetric Loadings

190
The moment-area method is an analytical tool used in structural engineering to determine the slope and deflection of beams under various loads. Consider a cantilever with a concentrated load and moment at the free end. The first step is constructing a free-body diagram to calculate the reactions at the fixed end. Next, the bending moment diagram is plotted to visualize how the bending moment varies along the beam's length, focusing on points where the bending moment equals zero.
The M/EI...
190
Beams with Unsymmetric Loadings01:17

Beams with Unsymmetric Loadings

122
Analyzing a supported beam under unsymmetrical loadings is essential in structural engineering to understand how beams respond to varied force distributions. This analysis involves calculating the deflection and identifying points where the slope of the beam is zero, which are crucial for ensuring structural stability and functionality.
The first moment-area theorem determines the slope at any point on the beam. This theorem indicates that the change in slope between two points on a beam...
122

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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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A secure solution based on load-balancing algorithms between regions in the cloud environment.

Sarah Eljack1, Mahdi Jemmali1,2,3, Mohsen Denden4,5

  • 1Department of Computer Science and Information, College of Science at Zulfi, Majmaah University, Majmaah, Saudi Arabia.

Peerj. Computer Science
|December 11, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel cloud data storage model to minimize file transfer events by optimizing region and zone selection. The proposed "Scheduler" component and "Grouping method" algorithms efficiently balance data load and enhance security for sensitive information.

Keywords:
AlgorithmsCloud computingCloud securityCybersecurityModelingOptimization

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Area of Science:

  • Cloud Computing and Data Storage
  • Information Security and Data Management
  • Algorithm Design and Optimization

Background:

  • Storing sensitive data in the cloud presents risks due to global network transfers, potentially increasing security vulnerabilities.
  • Inefficient data placement can lead to unnecessary file transfers between regions, increasing operational costs and complexity.
  • Minimizing data migrations is crucial for maintaining security and optimizing resource utilization in cloud environments.

Purpose of the Study:

  • To develop a novel model for scheduling files across cloud regions, balancing security and load.
  • To minimize the number of file transfer events by optimizing region and zone selection for sensitive data storage.
  • To address the NP-hard problem of optimal file placement in a distributed cloud environment.

Main Methods:

  • Proposed a novel cloud data storage model featuring a 'Scheduler' component.
  • Introduced a 'Grouping method' with several variants to generate novel algorithms for file scheduling.
  • Developed and evaluated seven initial algorithms, with three combinations yielding improved results, leading to six selected algorithms for performance analysis.

Main Results:

  • Tested 1,360 instances across four classes, using three metrics to evaluate algorithm performance.
  • The 'Best-value of four algorithms' demonstrated superior performance, achieving optimal results in 86.5% of cases.
  • The best-performing algorithm exhibited an average gap of 0.021 and an average running time of 0.0018 seconds.

Conclusions:

  • The proposed model and algorithms effectively address the challenge of secure and efficient sensitive data storage in the cloud.
  • Optimized file scheduling minimizes data transfer events and enhances overall cloud data management security.
  • The 'Best-value of four algorithms' provides a robust and efficient solution for cloud data placement problems.