OPTIMIZATION OF СLOUD TRAFFIC FOR STREAMING APPLICATIONS: ANALYSIS AND MONITORING APPROACHES

The article explores innovative strategies for improving the efficiency of data transmission in cloud streaming services. It addresses advanced coding techniques aimed at reducing latency and bandwidth consumption while preserving data integrity. The study provides a comprehensive overview of analysis and monitoring approaches that track performance metrics and optimize traffic flow. Using adaptive coding and real-time monitoring tools, the paper demonstrates how to achieve cost-effective and reliable streaming. The article offers practical recommendations for optimizing cloud traffic for developers and operators of streaming applications. Based on the analysis, the authors identify the key factors affecting the efficiency of data transmission and propose specific solutions to eliminate them. The findings offer actionable insights for developers and engineers seeking to improve cloud infrastructure for highquality media delivery.

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Publication Details

Journal
Collection of scientific papers Kamianets-Podilsky Ivan Ohienko National University Pedagogical series
Published
2024-12-18
DOI
https://doi.org/10.32626/2307-4507.2024-30.26-30
Primary Topic
Power Line Communications and Noise
Type
article
Field-Weighted Citation Impact
0.00
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article

OPTIMIZATION OF СLOUD TRAFFIC FOR STREAMING APPLICATIONS: ANALYSIS AND MONITORING APPROACHES

Галина Ткачук, Олексій Муковіз, Rostislav Motsyk
Collection of scientific papers Kamianets-Podilsky Ivan Ohienko National University Pedagogical series
Power Line Communications and Noise
article

OPTIMIZATION OF СLOUD TRAFFIC FOR STREAMING APPLICATIONS: ANALYSIS AND MONITORING APPROACHES

Галина Ткачук, Олексій Муковіз, Rostislav Motsyk
article en

Abstract

The article explores innovative strategies for improving the efficiency of data transmission in cloud streaming services. It addresses advanced coding techniques aimed at reducing latency and bandwidth consumption while preserving data integrity. The study provides a comprehensive overview of analysis and monitoring approaches that track performance metrics and optimize traffic flow. Using adaptive coding and real-time monitoring tools, the paper demonstrates how to achieve cost-effective and reliable streaming. The article offers practical recommendations for optimizing cloud traffic for developers and operators of streaming applications. Based on the analysis, the authors identify the key factors affecting the efficiency of data transmission and propose specific solutions to eliminate them. The findings offer actionable insights for developers and engineers seeking to improve cloud infrastructure for highquality media delivery.

Collection of scientific papers Kamianets-Podilsky Ivan Ohienko National University Pedagogical seriesVol. 30
Odessa State Academy of Civil Engineering and Architecture (UA), Pavlo Tychyna Uman State Pedagogical University (UA)
Openalex Percentile: Top 73%
Power Line Communications and Noise
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