Video streaming has become a dominant form of digital content consumption, with user expectations for seamless, high-quality experiences steadily rising. This book presents a video streaming framework built on Multipath TCP (MPTCP) and Software Defined Networking (SDN) to enhance Quality of Experience (QoE). A key innovation is the use of a Genetic Algorithm (GA) to dynamically select optimal transmission paths based on bandwidth, latency, and link reliability, enabling adaptability in changing network conditions. Beyond path selection, the architecture incorporates service differentiation to prioritize video traffic and ensure fairness, along with durability enhancements to reduce playback interruptions. These combined mechanisms create an intelligent, adaptive system that delivers robust, high-quality video streaming across diverse network environments. The results show that this approach significantly improves user experience and meets service expectations across different user classes.
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Shadi Bikas received her B.S. in Computer Science from Orumiyeh Payamnour University in 2013. Later, she earned her M.S. and PhD in Information Technology from Ege University in 2019 and 2024, respectively. She is currently a faculty member in the Department of Computer Engineering at TOBB University of Economics and Technology in Ankara, Turkey.
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Paperback. Zustand: new. Paperback. Video streaming has become a dominant form of digital content consumption, with user expectations for seamless, high-quality experiences steadily rising. This book presents a video streaming framework built on Multipath TCP (MPTCP) and Software Defined Networking (SDN) to enhance Quality of Experience (QoE). A key innovation is the use of a Genetic Algorithm (GA) to dynamically select optimal transmission paths based on bandwidth, latency, and link reliability, enabling adaptability in changing network conditions. Beyond path selection, the architecture incorporates service differentiation to prioritize video traffic and ensure fairness, along with durability enhancements to reduce playback interruptions. These combined mechanisms create an intelligent, adaptive system that delivers robust, high-quality video streaming across diverse network environments. The results show that this approach significantly improves user experience and meets service expectations across different user classes. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9786208848224
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Video streaming has become a dominant form of digital content consumption, with user expectations for seamless, high-quality experiences steadily rising. This book presents a video streaming framework built on Multipath TCP (MPTCP) and Software Defined Networking (SDN) to enhance Quality of Experience (QoE). A key innovation is the use of a Genetic Algorithm (GA) to dynamically select optimal transmission paths based on bandwidth, latency, and link reliability, enabling adaptability in changing network conditions. Beyond path selection, the architecture incorporates service differentiation to prioritize video traffic and ensure fairness, along with durability enhancements to reduce playback interruptions. These combined mechanisms create an intelligent, adaptive system that delivers robust, high-quality video streaming across diverse network environments. The results show that this approach significantly improves user experience and meets service expectations across different user classes.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch. Bestandsnummer des Verkäufers 9786208848224
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Taschenbuch. Zustand: Neu. Multipath Minds | Intelligent Networking for High-Quality Video Services | Shadi Bikas | Taschenbuch | Englisch | 2025 | Scholars' Press | EAN 9786208848224 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 133672850
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