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The rapid growth of data on the edge of the network has fuelled rapid growth of 6G and ubiquitous intelligence with gradual introduction of 5G and continuous popularization of edge intelligence. Given that UbiI's highly variable nature in terahertz environments, THz channel tail development, and delay distribution tail characteristics developed by the UBiI random component, this paper aims to investigate a new method for modeling latency guarantees for UbiI in 6G, and find the right solution that minimizes UbiI's end-to-end delay. In this section, the arrival curve and service curve of network calculus can help to describe the delay distribution in UbiI.
More recent years have seen more important applications developed to safeguard human lives being released over wireless networks in recent years. The gap in terms of the first two aspects is expected to be filled, however, providing ultra-high reliability is a wide open challenge. We imagine the bold theme of La Résistance 6G at this time, which will enable mission-critical applications and services to be deployed over 6G networks. A few disruptions are straightforward to handle, such as a cloud VM or primary link failure. However, some disruptions, such as when a cut-vertex fails or when the disruption causes the application to fail without access to a standby generator, can be costly. We present our LR6G vision and outline the obstacles that can be overcome to achieve this goal in this paper.
Our goal is to provide 5G/6G core flexibility by customizing and optimizing network slices and delivering a higher degree of programmability. The new 5G solutions primarily use predefined queues, so we've created highly customizable, flexible queue management software and moved it entirely to the application layer. According to the service management requirements, finished results confirm the validity of the initial dynamic QoS management scheme for configuring queues' parameters. In addition, the outlined solution can also be applied more effectively to 5G core networks to address a variety of service requirements.
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