Efficient Resource Management in Multicast Short Video Streaming Systems
Betty Searcy, Zurh Farus, Bronny Bush, Kevin Muhammad, Zubair Clinton

TL;DR
This paper presents a novel multicast resource management framework for short video streaming that optimizes bandwidth and improves user experience in congested networks.
Contribution
It introduces a dynamic resource allocation framework with optimization algorithms tailored for efficient multicast short video delivery.
Findings
Reduces bandwidth usage significantly
Decreases video startup delay
Enhances user satisfaction
Abstract
The surge in popularity of short-form video content, particularly through platforms like TikTok and Instagram, has led to an exponential increase in data traffic, presenting significant challenges in network resource management. Traditional unicast streaming methods, while straightforward, are inefficient in scenarios where videos need to be delivered to a large number of users simultaneously. Multicast streaming, which sends a single stream to multiple users, can drastically reduce the required bandwidth, yet it introduces complexities in resource allocation, especially in wireless environments where bandwidth is limited and user demands are heterogeneous. This paper introduces a novel multicast resource management framework tailored for the efficient distribution of short-form video content. The proposed framework dynamically optimizes resource allocation to enhance Quality of Service…
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Taxonomy
TopicsPeer-to-Peer Network Technologies · Advanced Wireless Network Optimization · Image and Video Quality Assessment
