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Related Concept Videos

Reducing Line Loss01:18

Reducing Line Loss

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In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
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A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
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Transformers in Distribution System01:27

Transformers in Distribution System

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Transformers in distribution systems can be broadly categorized into distribution substation transformers and other distribution transformers. They are crucial for stepping down high transmission voltages to levels suitable for distribution and end-user applications.
Distribution substation transformers come in various ratings and typically use mineral oil for insulation and cooling. To prevent moisture and air from entering the oil, some transformers use an inert gas like nitrogen to fill the...
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Energy Losses in Transformers01:21

Energy Losses in Transformers

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In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality,  the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
There are four main reasons for energy losses in transformers.
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Reclosers and Fuses01:26

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Automatic circuit reclosers enhance the protection of distribution circuits by interrupting and auto-reclosing an AC circuit according to a preset sequence. They effectively manage temporary faults on overhead distribution lines, often caused by tree limbs or wildlife, by briefly disrupting service to improve overall reliability. However, contact with reclosers or energized broken conductors on the ground can pose serious hazards.
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Temporal fusion transformer-based strategy for efficient multi-cloud content replication.

Naganandhini S1, Shanthi D1

  • 1Computer Science and Engineering, PSNA College of Engineering and Technology, Dindigul, Tamilnadu, India.

Peerj. Computer Science
|June 26, 2025
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Summary

This study introduces a Temporal Fusion Transformer (TFT)-based Dynamic Data Replication Strategy (TD2RS) for cloud computing. TD2RS enhances data availability by 20% and reduces latency by 15% in dynamic environments.

Keywords:
Content replicationData availabilityDeep learningLatency reductionMultiple cloudsTemporal fusion transformer

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Area of Science:

  • Cloud Computing
  • Data Management
  • Artificial Intelligence

Background:

  • Ensuring high data availability and reliability is crucial for efficient content delivery in cloud environments.
  • Content replication across multiple clouds is a common strategy, but managing it dynamically is challenging.
  • Dynamic changes in data popularity and cloud resource availability complicate optimal replication.

Purpose of the Study:

  • To address the challenges of dynamic data replication in multi-cloud environments.
  • To propose and evaluate a novel Temporal Fusion Transformer (TFT)-based Dynamic Data Replication Strategy (TD2RS).
  • To optimize content replication considering future data demands and resource availability.

Main Methods:

  • Leveraged the Temporal Fusion Transformer (TFT), a deep learning temporal forecasting model.
  • Collected historical data on content popularity and resource availability from multiple cloud sources.
  • Developed TD2RS to forecast future data demands and perform intelligent, optimized replication.

Main Results:

  • The proposed TFT-based approach improved data availability by 20% compared to traditional methods.
  • Latency levels were reduced by 15% using the TD2RS framework.
  • Extensive experiments with synthetic time-series data validated the framework's performance.

Conclusions:

  • The TFT-based replication strategy effectively improves content delivery efficiency in dynamic cloud environments.
  • TD2RS provides a robust solution for dynamically managing data availability, reliability, and performance.
  • This approach offers significant improvements over existing replication techniques.