International Journal of Computer Science and Technology

ISSN 2996-8223

International Journal of Computer Science and Technology Vol. 5, No. 3, March 2003 | pp. 17–24

DOI: 10.46882/2003/IJCST/000051

Research Article

Title: An Optimized Adaptive Bandwidth Allocation Protocol for Content Routing Channels

Names of Authors: Carlos Mendez¹, Elena Rostova²

Authors’ Affiliations: ¹Department of Telecommunications, Polytechnic University of Madrid, Spain; ²Department of Computer Science, Saint Petersburg State University, Russia.

Abstract:
Asynchronous Transfer Mode networks encounter high frame loss metrics and network routing drops during heavy multithreaded streaming actions over volatile channel layers. Fixed bandwidth distribution protocols remain unable to accommodate sudden capacity spikes or reduce packet delay metrics safely. This paper introduces an optimized, dynamic bandwidth reservation architecture designed specifically for high-speed content delivery paths. The model tracks cell arrival rate derivatives across real-time tracking loops and adjusts localized buffering queues dynamically before systemic data dropouts manifest. We verified the architecture using a wide-area network design running under varying communication load matrices. The experimental findings indicate that our optimization protocol increases the structural packet delivery ratio by 28.6% and drops cell latency variance by 34.1% relative to traditional static reservation models. Cumulative end-to-end path delays decreased by 45 milliseconds, successfully matching strict streaming limits required by interactive high-definition media systems.

Keywords: Bandwidth Reservation, Content Delivery, Queue Optimization, Data Routing, Telecommunications Protocols, Network Efficiency.

Manuscript Timeline: Received: November 01, 2002; Revised: December 12, 2002; Accepted: January 05, 2003; Published: March 22, 2003.

Citation: Mendez, C., & Rostova, E. (2003). An Optimized Adaptive Bandwidth Allocation Protocol for Content Routing Channels. International Journal of Computer Science and Technology, 5(3), 17–24.