Eagle-Lanner tech blog

 

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Cloud RAN (Radio Access Network) is anticipated as the next revolution for cellular network infrastructure, and considered as an optimal solution to enhance capacity and coverage, while reducing latency caused by increased traffic. Though the virtualized nature of cloud RAN is thought as a challenging approach to replace the traditional, distributed RAN architecture, the cloud architecture is favored by network operators for their RAN infrastructures to enable new serviceability and simplified deployment approach.

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Ships are complex network environments, with a variety of internal and external connections for voice, broadband Internet, asset tracking, entertainment, and more. Managing all these connections has become a challenge, particularly given that typical networking equipment is not designed for maritime service.

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Optimizing the usage model when deploying multiple VNF’s with SD-WAN can create challenges. Allocating compute resources on a “per usage” basis or perhaps session base has multiple advantages. Network conditions can vary in different locations and to support a “zero touch” deployment model, multiple networking paths with fall back options are needed form MPLS, LTE to WiFi or even traditional ATM in a legacy environment. Lanner showcase the deployment scenario using uCPE platforms and interfaces to ease the rollout of SD-WAN services.

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Today, virtualization is the proven architecture to enhance performance and efficiency of service delivery in cloud computing. In fact, virtualized infrastructures have been implemented for servers in data centers worldwide and the topology is continuing its momentum as it can consolidate hybridized public and private clouds to offer enterprise IT personnel a more agile and flexible way to manage cloud service delivery.

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Looking at the natural synergy of VoIP and SD-WAN, Lanner and Versa Networks have tested and validated an integrated solution that combines Lanner’s compact virtual CPE equipment and Versa Networks’ highly-flexible SD-WAN software. The joint solution enables VoIP service providers to deliver improved and reliable voice and data connectivity with flexibility and cost advantages for creating agile and profitable managed VoIP services.

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The momentum in automated mobility is flourishing at global level, with many field tests conducted in France, Japan, Taiwan, and United States. For instance, there have been successful field tests of self-driving shuttle buses in Taipei and London recently (at the time of this writing).

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The strong demand for artificial intelligence (A.I) and machine learning has contributed to the shift from cloud to edge. There have been claims that computing related to A.I. algorithm should return to the edge, where A.I based devices are deployed. The claims also suggest that device-based edge computing can enable real-time analytics and execute algorithms to keep A.I and machine learning applications on premise better than the cloud.

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