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Regional computing approach for educational big data.

Bader Alshemaimri1, Afzal Badshah2, Ali Daud3

  • 1Software Engineering Department, College of Computing and Information Sciences, King Saud University, Riyadh, Saudi Arabia.

Scientific Reports
|March 4, 2025
PubMed
Summary
This summary is machine-generated.

Regional Computing (RC) offers a decentralized solution for Educational Big Data (EBD), significantly reducing latency and costs compared to traditional Cloud Computing. This approach enhances real-time data processing for improved educational experiences.

Keywords:
Big dataCloud computingEdge computingEducationEducational big dataRegional computing

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Area of Science:

  • Educational Technology
  • Data Science
  • Computer Science

Background:

  • The increasing adoption of Educational Technology (Edutech) generates vast amounts of Educational Big Data (EBD).
  • Efficient processing of EBD is crucial for personalized learning, adaptive assessment, and administrative decision-making.
  • Cloud Computing (CC) faces challenges with latency, cost, and network congestion when handling large-scale EBD.

Purpose of the Study:

  • To propose and evaluate a Regional Computing (RC) paradigm for efficient Educational Big Data management.
  • To address the limitations of Cloud Computing in processing real-time educational data.
  • To demonstrate the effectiveness of decentralized data processing within educational regions.

Main Methods:

  • Implementation of a Regional Computing (RC) paradigm decentralizing data processing within educational regions.
  • Strategic placement of regional servers for localized collection, processing, and storage of EBD.
  • Comparative analysis of RC against Cloud Computing (CC) based on latency, cost, and throughput.

Main Results:

  • RC reduced latency to 203.11 ms for 2,000 devices, significantly lower than CC's 707.1 ms.
  • RC proved more cost-efficient at 1.14 USD compared to CC's 5.36 USD.
  • RC avoided 600% congestion surges observed in CC and maintained consistent throughput under high workloads.

Conclusions:

  • Regional Computing (RC) is an optimal solution for managing Educational Big Data (EBD).
  • RC enhances the efficiency and timeliness of educational data processing.
  • Decentralized data processing via RC overcomes the scalability and performance limitations of Cloud Computing in Edutech environments.