TY - CHAP A1 - Sanusi, Khaleel Asyraaf Mat A1 - Klemke, Roland T1 - Immersive Multimodal Environments for Psychomotor Skills Training T2 - Proceedings of the 1st Games Technology Summit N2 - Modern immersive multimodal technologies enable the learners to completely get immersed in various learning situations in a way that feels like experiencing an authentic learning environment. These environments also allow the collection of multimodal data, which can be used with artificial intelligence to further improve the immersion and learning outcomes. The use of artificial intelligence has been widely explored for the interpretation of multimodal data collected from multiple sensors, thus giving insights to support learners’ performance by providing personalised feedback. In this paper, we present a conceptual approach for creating immersive learning environments, integrated with multi-sensor setup to help learners improve their psychomotor skills in a remote setting. KW - immersive learning technologies KW - multimodal learning KW - sensor devices KW - artificial intelligence KW - psychomotor training Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-246016 ER - TY - RPRT A1 - Sertbas Bülbül, Nurefsan A1 - Ergenc, Doganalp A1 - Fischer, Mathias T1 - Evaluating Dynamic Path Reconfiguration for Time Sensitive Networks T2 - Würzburg Workshop on Next-Generation Communication Networks (WueWoWas'22) N2 - In time-sensitive networks (TSN) based on 802.1Qbv, i.e., the time-aware Shaper (TAS) protocol, precise transmission schedules and, paths are used to ensure end-to-end deterministic communication. Such resource reservations for data flows are usually established at the startup time of an application and remain untouched until the flow ends. There is no way to migrate existing flows easily to alternative paths without inducing additional delay or wasting resources. Therefore, some of the new flows cannot be embedded due to capacity limitations on certain links which leads to sub-optimal flow assignment. As future networks will need to support a large number of lowlatency flows, accommodating new flows at runtime and adapting existing flows accordingly becomes a challenging problem. In this extended abstract we summarize a previously published paper of us [1]. We combine software-defined networking (SDN), which provides better control of network flows, with TSN to be able to seamlessly migrate time-sensitive flows. For that, we formulate an optimization problem and propose different dynamic path configuration strategies under deterministic communication requirements. Our simulation results indicate that regularly reconfiguring the flow assignments can improve the latency of time-sensitive flows and can increase the number of flows embedded in the network around 4% in worst-case scenarios while still satisfying individual flow deadlines. KW - Datennetz KW - SDN KW - dynamic flow migration KW - reconfiguration KW - TSN KW - path computation Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-280743 ER - TY - RPRT A1 - Le, Duy Thanh A1 - Großmann, Marcel A1 - Krieger, Udo R. T1 - Cloudless Resource Monitoring in a Fog Computing System Enabled by an SDN/NFV Infrastructure T2 - Würzburg Workshop on Next-Generation Communication Networks (WueWoWas'22) N2 - Today’s advanced Internet-of-Things applications raise technical challenges on cloud, edge, and fog computing. The design of an efficient, virtualized, context-aware, self-configuring orchestration system of a fog computing system constitutes a major development effort within this very innovative area of research. In this paper we describe the architecture and relevant implementation aspects of a cloudless resource monitoring system interworking with an SDN/NFV infrastructure. It realizes the basic monitoring component of the fundamental MAPE-K principles employed in autonomic computing. Here we present the hierarchical layering and functionality within the underlying fog nodes to generate a working prototype of an intelligent, self-managed orchestrator for advanced IoT applications and services. The latter system has the capability to monitor automatically various performance aspects of the resource allocation among multiple hosts of a fog computing system interconnected by SDN. KW - Datennetz KW - fog computing KW - SDN/NVF KW - container virtualization KW - autonomic orchestration KW - docker Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-280723 ER - TY - RPRT A1 - Höweler, Malte A1 - Xiang, Zuo A1 - Höpfner, Franz A1 - Nguyen, Giang T. A1 - Fitzek, Frank H. P. T1 - Towards Stateless Core Networks: Measuring State Access Patterns T2 - Würzburg Workshop on Next-Generation Communication Networks (WueWoWas'22) N2 - Future mobile communication networks, such as 5G and beyond, can benefit from Virtualized Network Functions (VNFs) when deployed on cloud infrastructures to achieve elasticity and scalability. However, new challenges arise as to managing states of Network Functions (NFs). Especially control plane VNFs, which are mainly found in cellular core networks like the 5G Core (5GC), received little attention since the shift towards virtualizing NFs. Most existing solutions for these core networks are often complex, intrusive, and are seldom compliant with the standard. With the emergence of 5G campus networks, UEs will be mainly machine-type devices. These devices communicate more deterministically, bringing new opportunities for elaborated state management. This work presents an emulation environment to perform rigorous measurements on state access patterns. The emulation comes with a fully parameterized Markov model for the UE to examine a wide variety of different devices. These measurements can then be used as a solid base for designing an efficient, simple, and standard conform state management solution that brings us further towards stateless core networks. KW - Datennetz KW - 5GC KW - VNF KW - SBA KW - measurements KW - MTC Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-280770 ER - TY - RPRT A1 - Gallenmüller, Sebastian A1 - Scholz, Dominik A1 - Stubbe, Henning A1 - Hauser, Eric A1 - Carle, Georg T1 - Reproducible by Design: Network Experiments with pos T2 - Würzburg Workshop on Next-Generation Communication Networks (WueWoWas'22) N2 - In scientific research, the independent reproduction of experiments is the source of trust. Detailed documentation is required to enable experiment reproduction. Reproducibility awards were created to honor the increased documentation effort. In this work, we propose a novel approach toward reproducible research—a structured experimental workflow that allows the creation of reproducible experiments without requiring additional efforts of the researcher. Moreover, we present our own testbed and toolchain, namely, plain orchestrating service (pos), which enables the creation of such experimental workflows. The experiment is documented by our proposed, fully scripted experiment structure. In addition, pos provides scripts enabling the automation of the bundling and release of all experimental artifacts. We provide an interactive environment where pos experiments can be executed and reproduced, available at https://gallenmu.github.io/single-server-experiment. KW - Datennetz KW - Reproducibility KW - Testbed KW - Network Experiments KW - plain orchestrating service KW - pos Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-280834 ER - TY - RPRT A1 - Odhah, Najib A1 - Grass, Eckhard A1 - Kraemer, Rolf T1 - Effective Rate of URLLC with Short Block-Length Information Theory T2 - Würzburg Workshop on Next-Generation Communication Networks (WueWoWas'22) N2 - Shannon channel capacity estimation, based on large packet length is used in traditional Radio Resource Management (RRM) optimization. This is good for the normal transmission of data in a wired or wireless system. For industrial automation and control, rather short packages are used due to the short-latency requirements. Using Shannon’s formula leads in this case to inaccurate RRM solutions, thus another formula should be used to optimize radio resources in short block-length packet transmission, which is the basic of Ultra-Reliable Low-Latency Communications (URLLCs). The stringent requirement of delay Quality of Service (QoS) for URLLCs requires a link-level channel model rather than a physical level channel model. After finding the basic and accurate formula of the achievable rate of short block-length packet transmission, the RRM optimization problem can be accurately formulated and solved under the new constraints of URLLCs. In this short paper, the current mathematical models, which are used in formulating the effective transmission rate of URLLCs, will be briefly explained. Then, using this rate in RRM for URLLC will be discussed. KW - Datennetz KW - URLLC KW - RRM KW - delay QoS exponent KW - decoding error rate KW - delay bound violation probability KW - short block-length KW - effective Bandwidth Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-280859 ER - TY - RPRT A1 - Savvidis, Dimitrios A1 - Roth, Robert A1 - Tutsch, Dietmar T1 - Static Evaluation of a Wheel-Topology for an SDN-based Network Usecase T2 - Würzburg Workshop on Next-Generation Communication Networks (WueWoWas'22) N2 - The increased occurrence of Software-Defined-Networking (SDN) not only improves the dynamics and maintenance of network architectures, but also opens up new use cases and application possibilities. Based on these observations, we propose a new network topology consisting of a star and a ring topology. This hybrid topology will be called wheel topology in this paper. We have considered the static characteristics of the wheel topology and compare them with known other topologies. KW - Datennetz KW - SDN KW - topology KW - wheel Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-280715 ER -