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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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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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Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
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Related Experiment Video

Updated: Oct 2, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Balanced Energy-Aware and Fault-Tolerant Data Center Scheduling.

Muhammad Shaukat1, Waleed Alasmary2, Eisa Alanazi3

  • 1Department of Computer Science, COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22060, Pakistan.

Sensors (Basel, Switzerland)
|February 26, 2022
PubMed
Summary

This study introduces an Energy-Aware Fault-Tolerant (EAFT) approach for data center networks, balancing energy efficiency with high availability. The EAFT scheduler optimizes resource allocation to reduce operating costs while maintaining fault tolerance.

Keywords:
cloud computingdata centerenergy efficiencyfault tolerancenetworks

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Area of Science:

  • Computer Science
  • Network Engineering
  • Green Computing

Background:

  • Data center networks face increasing demands from diverse internet applications.
  • Energy consumption and fault tolerance are critical research areas in large-scale networks.
  • Existing approaches often present a tradeoff between energy efficiency and fault tolerance.

Purpose of the Study:

  • To propose a novel approach for achieving a better tradeoff between energy efficiency and fault tolerance in data center networks.
  • To introduce the Energy-Aware Fault-Tolerant (EAFT) approach for resource scheduling.
  • To reduce operating costs in data centers while ensuring high availability.

Main Methods:

  • Development of the Energy-Aware Fault-Tolerant (EAFT) data center network scheduler.
  • Scheduling resources for energy efficiency while maintaining one level of redundancy for fault tolerance.
  • Comparative analysis of EAFT with existing energy-efficient resource scheduling techniques.

Main Results:

  • The EAFT approach demonstrates a favorable balance between energy efficiency and fault tolerance.
  • Analysis of workload distribution, average tasks per server, and energy consumption under EAFT.
  • Evaluation of the impact of energy efficiency techniques on overall data center network performance.

Conclusions:

  • The proposed EAFT approach offers an effective solution for energy-efficient and fault-tolerant data center networks.
  • EAFT achieves reduced operating costs through optimized resource scheduling and redundancy management.
  • This study highlights the importance of considering both energy efficiency and fault tolerance for sustainable data center operations.