The EVOLVED-5G journal paper by Lenovo partner (Emmanouil Pateromichelakis, Dimitrios Dimopoulos, Apostolis Salkintzis), entitled “NetApps Enabling Application-Layer Analytics for Vertical IoT Industry” was accepted in the IEEE Internet of Things Magazine, Volume 5, Issue: 4. This article presents the concept of vertical application enablement which is a framework that enables the integration of vertical IoT apps within future mobile networks. The vertical application enablement provides a toolbox of value-add services, realized via so-called Network Applications (NetApps), that form an optimization and translation layer, which eases the interaction between vertical IoT apps and mobile networks. The importance of data management at the telco cloud platforms, and in particular the data collection and analytics enablement, necessitates a new category of NetApps which aims at supporting cross-domain integrated analytics to optimize end to end application performance, In this article, we review the various vertical application enablement frameworks, and we consider more specifically the NetApps that can be used to expose their services/capabilities. We also discuss the Application Data Analytics Enablement Services (ADAES) that can provide app-layer analytics services to vertical IoT apps, and we present its architecture, capabilities, and its current standardization status in 3GPP. In addition, we present an innovative implementation of analytics enablement through NetApps, which enables vertical IoT clients to select the best vertical IoT server instance, which is expected to provide the best performance. You may find more information online here: https://ieeexplore.ieee.org/document/10012484
EVOLVED-5G partners from UMA submitted a journal paper entitled “Towards Zero Touch Configuration of 5G Non-Public Networks for Time Sensitive Networking ” in the IEEE Network Magazine (Volume: 36, Issue: 2) , Special issue: New Network Architectures, Protocols and Algorithms for the Time-Sensitive Applications. The paper was accepted and is available here: https://ieeexplore.ieee.org/document/9785739
Briefly the scope of the paper is to express “the need to increase mobility and remove cables in industrial environments is pushing 5G as a valuable communication system to connect traditional deterministic Ethernet-based devices. One alternative is the adoption of Time Sensitive Networking (TSN) standards over 5G Non-Public Networks (5G NPN) deployed in the company premises. This scenario presents several challenges, the most relevant being the configuration of the 5G part to provide latency, reliability and throughput balance suitable to ensure that all the TSN traffic can be delivered on time. Our research work addresses this problem from the perspective of automata learning. Our aim is to learn from the live network to build a smart controller that can dynamically predict and apply a suitable configuration of the 5G NPN to satisfy the requirements of the current TSN traffic. The article presents the main ideas of this novel approach.”
https://evolved-5g.eu/wp-content/uploads/2021/01/site-logo.svg00Dimitrios Fragkoshttps://evolved-5g.eu/wp-content/uploads/2021/01/site-logo.svgDimitrios Fragkos2022-07-27 16:48:002022-06-03 16:51:21“Towards Zero Touch Configuration of 5G Non-Public Networks for Time Sensitive Networking” Accepted paper
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