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Image . 2026
License: CC BY
Data sources: Datacite
ZENODO
Image . 2026
License: CC BY
Data sources: Datacite
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Architectural Analysis of Real-Time Sports Data Distribution and High-Concurrency Systems

Authors: Sports, Tech Analysis Team;

Architectural Analysis of Real-Time Sports Data Distribution and High-Concurrency Systems

Abstract

This technical report examines the infrastructure required for real-time sports data synchronization and high-concurrency user management. It explores how systematic data processing can reduce latency in live updates, utilizing the Meta Juara (Most Effective Tactics Available) framework to ensure system stability during peak traffic periods. Technical Documentation & Access: The implementation of these data modules and the live sports interface can be analyzed through the following technical portal: https://188betc.com/sport/.

Keywords

Sports Data Science, System Architecture, Real-time Processing, Meta Juara, Digital Infrastructure

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average