Hybrid Fluid Modeling Approach for Performance Analysis of P2P Live Video Streaming Systems

Kotevski, Zoran and Mitrevski, Pece (2014) Hybrid Fluid Modeling Approach for Performance Analysis of P2P Live Video Streaming Systems. Peer-to-Peer Networking and Applications (PPNA), 7 (4). pp. 410-426. ISSN 1936-6442

Text Hybrid fluid modeling approach.pdf - Published Version Download (98kB)

Abstract

In this paper a hybrid modeling approach with different modeling formalisms and solution methods is employed in order to analyze the performance of peer to peer live video streaming systems. We conjointly use queuing networks and Fluid Stochastic Petri Nets, developing several performance models to analyze the behavior of rather complex systems. The models account for: network topology, peer churn, scalability, peer average group size, peer upload bandwidth heterogeneity and video buffering, while introducing several features unconsidered in previous performance models, such as: admission control for lower contributing peers, control traffic overhead and internet traffic packet loss. Our analytical and simulation results disclose the optimum number of peers in a neighborhood, the minimum required server upload bandwidth, the optimal buffer size and the influence of control traffic overhead. The analysis reveals the existence of a performance switch-point (i.e. threshold) up to which system scaling is beneficial, whereas performance steeply decreases thereafter. Several degrees of degraded service are introduced to explore performance with arbitrary percentage of lost video frames and provide support for protocols that use scalable video coding techniques. We also find that implementation of admission control does not improve performance and may discourage new peers if waiting times for joining the system increase.

Item Type:	Article
Subjects:	Scientific Fields (Frascati) > Natural sciences > Computer and information sciences
Divisions:	Faculty of Information and Communication Technologies
Depositing User:	Prof. d-r. Zoran Kotevski
Date Deposited:	16 May 2023 13:11
Last Modified:	16 May 2023 13:11
URI:	https://eprints.uklo.edu.mk/id/eprint/8331

Actions (login required)

View Item