Enhancing P2Cast VoD Streaming Performance: A Node Behaviour-Driven Parent Selection Approach Considering VCR Actions.

In traditional VoD streaming architecture like P2Cast, a parent node for an incoming child node gets selected based on bandwidth-first and local-information-first principles. But since they do not take node behavior into account, they are bound to experience more performance issues because of the high-probabilistic peer departures. To mitigate this, we proposed an efficient parent selection algorithm that extends the previous approaches and considers VCR functionalities like jump and seek-jump to select the parent. Additionally, we addressed the issues with the stream retrieval mechanism of traditional architectures and came up with efficient alternatives to prevent the system from entering bottleneck situations. This paper introduces the use of formal methods to analyze video streaming and Continuous Time Markov Chain (CTMC) to capture the stochastic behavior of the nodes and design models. Later, we examined the performance of the proposed system with behavioral analysis and compared the results to traditional benchmarks. We found that our proposed approach improves the overall stability of the nodes, thus the entire network by up to 99% compared to the traditional parent selection mechanism, where node behaviour was not taken into account. We firmly believe that adopting this approach has the potential to bring about a substantial enhancement in both the quality of user experience and the overall robustness of existing Video-on-Demand (VoD) streaming services. This transformative methodology holds the promise of revolutionizing the way consumer electronics manage streaming content, thereby enhancing its accessibility, efficiency, and integration with the tactile internet for a broader spectrum of users.