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Area of Science:

  • Computer Science
  • Network Engineering
  • Multimedia Systems

Background:

  • Single-server streaming media systems frequently suffer from performance degradation and network congestion.
  • Existing architectures struggle to efficiently handle a growing number of concurrent users and increasing data demands.

Purpose of the Study:

  • To propose and evaluate a novel streaming media server cluster system.
  • To address the limitations of single-server systems in terms of performance and network load.

Main Methods:

  • Development of a server cluster system utilizing FFMpeg.
  • Implementation of a dynamic load-balancing algorithm with active feedback for user distribution.
  • Introduction of a service redirection algorithm to optimize data transmission.

Main Results:

  • The proposed server cluster system effectively alleviates network congestion.
  • Significant performance improvements were observed compared to traditional single-server systems.
  • Enhanced transmission efficiency for streaming media data was achieved.

Conclusions:

  • The FFMpeg-based server cluster system offers a scalable and efficient solution for streaming media delivery.
  • Dynamic load balancing and service redirection are key to improving streaming performance.
  • The cluster approach provides a robust alternative to single-server architectures for handling high-demand media streaming.