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The Video-on-Demand (VoD) distribution paradigm uses a unicast independent flow for each user request.
The simulations results show lower user request blocking probability when using the proposed system.
If banned requests are intercepted, the user request goes no further and a "404 page not found" error is returned, or simply a blank page.
Database- and web-servers generally create a separate thread for each user request—so the ability to run several threads simultaneously is a particular advantage for them.
This paper focuses on the description of the translation of the user request in natural language and his context into planning instances.
In case of a link failure, to ensure a high-level quality of service (QoS) for user request after the failure becomes a research focus.
Proactive recommenders are a good example because they push recommendations to the user when the current situation seems appropriate, without explicit user request.
In this architecture, when more than one service fulfills the user request, a service which can make scheduling decisions is essential.
To represent a real-world user request scenario, the Amazon EC2 cloud platform was utilized to deploy multiple client nodes for the experiments.
In case of natural disasters, to ensure a high-level quality of service (QoS) for user request after disasters becomes a research focus.
In case of cross-layer link failure, to ensure a high-level quality of service (QoS) for user request after the failure becomes a research focus.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com