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In diesem Beitrag wird zunächst das Konzept des digital storytelling mit dem Tablet im frühen Fremdsprachenunterricht methodisch-didaktisch gerahmt (Kapitel 1). Daran anschließend wird die Bedeutung lernunterstützender Maßnahmen in einem solchen digital gestützten und potenziell kreativitätsfördernden Unterrichtssetting erläutert (Kapitel 2). In Kapitel 3 folgt die Vorstellung der Unterrichtsreihe „It’s storytime – Let’s create our own digital fairy tale“. Im Verlauf dieser Unterrichtsreihe, die auch als Projektwoche angelegt werden kann, rezipieren die Schüler:innen zunächst eigenständig Märchen in englischer Sprache, die aus dem deutschen und angloamerikanischen Sprachraum bekannt sind. Die Märchen liegen für das Tablet multimedial aufbereitet vor. Anschließend entwickeln die Lernenden auf Grundlage des erarbeiteten gattungsspezifischen Wortschatzes ein eigenes multimediales Märchen. Alle für die Unterrichtsreihe benötigten digitalen und analogen Materialien stehen als Download zur Verfügung und können für den eigenen Unterricht genutzt und adaptiert werden.
Expanding on a general equilibrium model of offshoring, we analyze the effects of a unilateral emissions tax increase on the environment, income, and inequality. Heterogeneous firms allocate labor across production tasks and emissions abatement, while only the most productive can benefit from lower labor and/or emissions costs abroad and offshore. We find a non-monotonic effect on global emissions, which decline if the initial difference in emissions taxes is small. For a sufficiently large difference, global emissions rise, implying emissions leakage of more than 100%. The underlying driver is a global technique effect: While the emissions intensity of incumbent non-offshoring firms declines, the cleanest firms start offshoring. Moreover, offshoring firms become dirtier, induced by a reduction in the foreign effective emissions tax in general equilibrium. Implementing a BCA prevents emissions leakage, reduces income inequality in the reforming country, but raises inequality across countries.
Cooperative, connected and automated mobility (CCAM) systems depend on a reliable communication to provide their service and more crucially to ensure the safety of users. One way to ensure the reliability of a data transmission is to use multiple transmission technologies in combination with redundant flows. In this paper, we describe a system requiring multipath communication in the context of CCAM. To this end, we introduce a data plane-based scheduler that uses replication and integration modules to provide redundant and transparent multipath communication. We provide an analytical model for the full replication module of the system and give an overview of how and where the data-plane scheduler components can be realized.
Dieses fünfte Jean Monnet Paper fügt alle 36 mainEUropa-Blogs, die zwischen 2017 und 2021 an der mit einem Jean Monnet Lehrstuhl ausgezeichneten Professur für Europaforschung und Internationale Beziehungen der Universität Würzburg verfasst wurden, zu einer einheitlichen Publikation zusammen. Die mainEUropa-Blogs wollten über ausgewählte Aspekte der EU-Politik aktuell, knapp und leicht verständlich informieren; damit haben sie dem EU-Geschehen der Jahre 2017 bis 2021 aus jeweils aktuellen Anlässen den Puls genommen und zu einem besseren Verständnis der EU-Politik- und Entscheidungsprozesse beigetragen.
Die Blog-Themen sind breit gefächert und bilden somit ausgewählte Ereignisse und Weichenstellungen aus der jüngeren Integrationsgeschichte ab. Die Themen reichen über klimapolitische Beschlüsse, das Ringen um den Erhalt bzw. die Wiederherstellung der Rechtstaatlichkeit in einigen EU-Mitgliedstaaten, das Endlos-Drama des Brexits, wichtige Wahlen in der EU und ausgewählten Mitgliedstaaten bis hin zu neuen Entwicklungen in der EU-Außen-, Sicherheits- und Verteidigungspolitik sowie zu den überraschend zupackenden Antworten der EU auf die Covid-19-Pandemie. Ein Blick auf die europapolitische Agenda der im Dezember 2021 angetretenen rot-grün-gelben Ampel-Bundesregierung beschließt die Reihe. Denn 2021 endete auch das die mainEUropa-Blogs tragende Jean Monnet Projekt, so dass das vorliegende fünfte Jean Monnet Paper auch das letzte sein wird.
This paper examines the potential reinforcement of motivated beliefs when individuals with identical biases communicate. We propose a controlled online experiment that allows to manipulate belief biases and the communication environment. We find that communication, even among like-minded individuals, diminishes motivated beliefs if it takes place in an environment without previously declared external opinions. In the presence of external plural opinions, however, communication does not reduce but rather aggravates motivated beliefs. Our results indicate a potential drawback of the plurality of opinions - it may create communication environments wherein motivated beliefs not only persist but also become contagious within social networks.
Exploring and explaining diversity and patterns of stateness is crucial for understanding causes of efficiency, duration, or the collapse of a state. The new Stateness Index (StIx) contributes to the conceptual and analytical debate on stateness and state fragility. StIx is a tool for measuring stateness and state quality since 1950 that includes country-ranking through aggregated and disaggregated data to advance performance comparison and policy analysis. This article first sums up the main theoretical aspects, followed by descriptive results.
International trade is highly imbalanced both in terms of values and in terms of embodied carbon emissions. We show that the persistent current value trade imbalance patterns contribute to a higher level of global emissions compared to a world of balanced international trade. Specifically, we build a Ricardian quantitative trade model including sectoral input-output linkages, trade imbalances, fossil fuel extraction, and carbon emissions from fossil fuel combustion and use this framework to simulate counterfactual changes to countries' trade balances. For individual countries, the emission effects of removing their trade imbalances depend on the carbon intensities of their production and consumption patterns, as well as on their fossil resource abundance. Eliminating the Russian trade surplus and the US trade deficit would lead to the largest environmental benefits in terms of lower global emissions. Globally, the simultaneous removal of all trade imbalances would lower world carbon emissions by 0.9 percent or 295 million tons of carbon dioxide.
Sprachsensibilität als Unterrichtsmerkmal erweist sich als lohnend für alle Schüler*innen, unabhängig von Migrationshintergrund und (sonderpädagogischen) Förderbedarf. Diese Handreichung versteht sich als eine praktische Annäherung an den Schnittbereich von Mehrsprachigkeit und dem Förderschwerpunkt emotionale und soziale Entwicklung. Zum einen sollen die Bezüge und Gemeinsamkeiten der beiden betreffenden Bereiche geklärt werden (Teil I), zum anderen bieten zahlreiche Methoden, Ideen zur Umsetzung und Materialien bereits praxisgeeignete Vorschläge zum Umgang mit sprachlicher Heterogenität (Teil II). Der vorliegende, zweite Teil stellt demnach die Materialsammlung dar und baut auf dem ersten Teil direkt auf. Entstehungshintergründe und die wissenschaftliche Legitimation zu Inhalt und Aufbau können demnach in diesem nachgelesen werden. Die zahlreichen Methoden, Umsetzungsideen und Materialien sind als schon praxisgeeignete Vorschläge zum Umgang mit sprachlicher Heterogenität zu verstehen. Es dient für alle pädagogischen Fachkräfte als Inspiration und kann als Grundlage für die eigene Arbeit mit Kindern und Jugendlichen verwendet werden.
Sprachsensibilität als Unterrichtsmerkmal erweist sich als lohnend für alle Schüler*innen, unabhängig von Migrationshintergrund und (sonderpädagogischen) Förderbedarf. Diese Handreichung versteht sich als eine theoretische Annäherung an den Schnittbereich von Mehrsprachigkeit und dem Förderschwerpunkt emotionale und soziale Entwicklung. Zum einen sollen die Bezüge und Gemeinsamkeiten der beiden betreffenden Bereiche geklärt werden (Teil I), zum anderen bieten zahlreiche Methoden, Ideen zur Umsetzung und Materialien bereits praxisgeeignete Vorschläge zum Umgang mit sprachlicher Heterogenität (Teil II). Der vorliegende, erste Teil stellt die theoretische Fundierung dar.
The necessary adjustments to prominent measures of the neutral rate of interest following the COVID pandemic sparked a wide-ranging debate on the measurement and usefulness of r-star. Due to high uncertainty about relevant determinants, trend patterns and the correct estimation method, we propose in this paper a simple alternative approach derived from a standard macro model. Starting from a loss function, neutral periods can be determined in which a neutral real interest rate is observable. Using these values, a medium-term trend for a neutral interest rate can be determined. An application to the USA shows that our simple calculation of a neutral interest rate delivers comparable results to existing studies. A Taylor rule based on our neutral interest rate also does a fairly good job of explaining US monetary policy over the past 60 years.
Government support for green technologies and renewable energy in particular has become an integral cornerstone of economic policy for most industrialized economies. Due to competitive price determination and supposedly higher efficiency, auctions have in recent years widely succeeded feed-in-tariffs as the primary support instrument (del Rio & Linares, 2014; REN21, 2021). However, literature still struggles to produce causal evidence to validate mostly descriptive findings for efficiency gains. Yet, this evidence is needed as a foundation to provide robust recommendations to policy makers (Grashof et al., 2020). By utilizing a difference-in-differences approach, this paper provides such evidence for a German photovoltaic (PV) auctioning program which came into effect in 2015. Results for this natural experiment confirm that cost-effectiveness improved significantly while previous literature shows that capacity expansion remained high. Results additionally show that falling prices for PV panels were the primary driver of cost reductions and wages also exert high influence on support price. Input cost development therefore indeed strongly influences support level which was the aim with introducing competitive auctions. Interest rate development cannot be linked to support level development, most probably due to the low interest environment in considered period.
We propose that false beliefs about own current economic status are an important factor for explaining populist attitudes. Eliciting subjects’ receptiveness to rightwing populism and their perceived relative income positions in a representative survey of German households, we find that people with pessimistic beliefs about their income position are more attuned to populist statements. Key to understanding the misperception-populism relationship are strong gender differences in the mechanism: men are much more likely to channel their discontent into affection for populist ideas. A simple information provision does neither sustainably reduce misperception nor curb populism.
Service orchestration requires enormous attention and is a struggle nowadays. Of course, virtualization provides a base level of abstraction for services to be deployable on a lot of infrastructures. With container virtualization, the trend to migrate applications to a micro-services level in order to be executable in Fog and Edge Computing environments increases manageability and maintenance efforts rapidly. Similarly, network virtualization adds effort to calibrate IP flows for Software-Defined Networks and eventually route it by means of Network Function Virtualization. Nevertheless, there are concepts like MAPE-K to support micro-service distribution in next-generation cloud and network environments. We want to explore, how a service distribution can be improved by adopting machine learning concepts for infrastructure or service changes. Therefore, we show how federated machine learning is integrated into a cloud-to-fog-continuum without burdening single nodes.
In network research, reproducibility of experiments is not always easy to achieve. Infrastructures are cumbersome to set up or are not available due to vendor-specific devices. Emulators try to overcome those issues to a given extent and are available in different service models. Unfortunately, the usability of emulators requires time-consuming efforts and a deep understanding of their functionality. At first, we analyze to which extent currently available open-source emulators support network configurations and how user-friendly they are. With these insights, we describe, how an ease-to-use emulator is implemented and may run as a Network Emulator as a Service (NEaaS). Therefore, virtualization plays a major role in order to deploy a NEaaS based on Kathará.
This paper discusses the problem of finding multiple shortest disjoint paths in modern communication networks, which is essential for ultra-reliable and time-sensitive applications. Dijkstra’s algorithm has been a popular solution for the shortest path problem, but repetitive use of it to find multiple paths is not scalable. The Multiple Disjoint Path Algorithm (MDPAlg), published in 2021, proposes the use of a single full graph to construct multiple disjoint paths. This paper proposes modifications to the algorithm to include a delay constraint, which is important in time-sensitive applications. Different delay constraint least-cost routing algorithms are compared in a comprehensive manner to evaluate the benefits of the adapted MDPAlg algorithm. Fault tolerance, and thereby reliability, is ensured by generating multiple link-disjoint paths from source to destination.
In this work, we describe the network from data collection to data processing and storage as a system based on different layers. We outline the different layers and highlight major tasks and dependencies with regard to energy consumption and energy efficiency. With this view, we can outwork challenges and questions a future system architect must answer to provide a more sustainable, green, resource friendly, and energy efficient application or system. Therefore, all system layers must be considered individually but also altogether for future IoT solutions. This requires, in particular, novel sustainability metrics in addition to current Quality of Service and Quality of Experience metrics to provide a high power, user satisfying, and sustainable network.
How to Model and Predict the Scalability of a Hardware-In-The-Loop Test Bench for Data Re-Injection?
(2023)
This paper describes a novel application of an empirical network calculus model based on measurements of a hardware-in-the-loop (HIL) test system. The aim is to predict the performance of a HIL test bench for open-loop re-injection in the context of scalability. HIL test benches are distributed computer systems including software, hardware, and networking devices. They are used to validate complex technical systems, but have not yet been system under study themselves. Our approach is to use measurements from the HIL system to create an empirical model for arrival and service curves. We predict the performance and design the previously unknown parameters of the HIL simulator with network calculus (NC), namely the buffer sizes and the minimum needed pre-buffer time for the playback buffer. We furthermore show, that it is possible to estimate the CPU load from arrival and service-curves based on the utilization theorem, and hence estimate the scalability of the HIL system in the context of the number of sensor streams.
In recent years, satellite communication has been expanding its field of application in the world of computer networks. This paper aims to provide an overview of how a typical scenario involving 5G Non-Terrestrial Networks (NTNs) for vehicle to everything (V2X) applications is characterized. In particular, a first implementation of a system that integrates them together will be described. Such a framework will later be used to evaluate the performance of applications such as Vehicle Monitoring (VM), Remote Driving (RD), Voice Over IP (VoIP), and others. Different configuration scenarios such as Low Earth Orbit and Geostationary Orbit will be considered.
The introduction of new types of frequency spectrum in 6G technology facilitates the convergence of conventional mobile communications and radar functions. Thus, the mobile network itself becomes a versatile sensor system. This enables mobile network operators to offer a sensing service in addition to conventional data and telephony services. The potential benefits are expected to accrue to various stakeholders, including individuals, the environment, and society in general. The paper discusses technological development, possible integration, and use cases, as well as future development areas.
In this paper, we work to understand the global IPX network from the perspective of an MVNO. In order to do this, we provide a brief description of the global architecture of mobile carriers. We provide initial results with respect to mapping the vast and complex interconnection network enabling global roaming from the point of view of a single MVNO. Finally, we provide preliminary results regarding the quality of service observed under global roaming conditions.
This paper presents a novel concept to extend state-of-the-art buffer monitoring with additional measures to estimate service-curves. The online algorithm for service-curve estimation replaces the state-of-the-art timestamp logging, as we expect it to overcome the main disadvantages of generating a huge amount of data and using a lot of CPU resources to store the data to a file during operation. We prove the accuracy of the online-algorithm offline with timestamp data and compare the derived bounds to the measured delay and backlog. We also do a proof-of- concept of the online-algorithm, implement it in LabVIEW and compare its performance to the timestamp logging by CPU load and data-size of the log-file. However, the implementation is still work-in-progress.
This paper presents a prototypical implementation of the In-band Network Telemetry (INT) specification in P4 and demonstrates a use case, where a Tofino Switch is used to measure device and network performance in a lab setting. This work is based on research activities in the area of P4 data plane programming conducted at the network lab of HTW Berlin.
State Management at line rate is crucial for critical applications in next-generation networks. P4 is a language used in software-defined networking to program the data plane. The data plane can profit in many circumstances when it is allowed to manage its state without any detour over a controller. This work is based on a previous study by investigating the potential and performance of add-on-miss insertions of state by the data plane. The state keeping capabilities of P4 are limited regarding the amount of data and the update frequency. We follow the tentative specification of an upcoming portable-NIC-architecture and implement these changes into the software P4 target T4P4S. We show that insertions are possible with only a slight overhead compared to lookups and evaluate the influence of the rate of insertions on their latency.
Understanding the Performance of Different Packet Reception and Timestamping Methods in Linux
(2023)
This document briefly presents some renowned packet reception techniques for network packets in Linux systems. Further, it compares their performance when measuring packet timestamps with respect to throughput and accuracy. Both software and hardware timestamps are compared, and various parameters are examined, including frame size, link speed, network interface card, and CPU load. The results indicate that hardware timestamping offers significantly better accuracy with no downsides, and that packet reception techniques that avoid system calls offer superior measurement throughput.
Utilizing multiple access networks such as 5G, 4G, and Wi-Fi simultaneously can lead to increased robustness, resiliency, and capacity for mobile users. However, transparently implementing packet distribution over multiple paths within the core of the network faces multiple challenges including scalability to a large number of customers, low latency, and high-capacity packet processing requirements. In this paper, we offload congestion-aware multipath packet scheduling to a smartNIC. However, such hardware acceleration faces multiple challenges due to programming language and platform limitations. We implement different multipath schedulers in P4 with different complexity in order to cope with dynamically changing path capacities. Using testbed measurements, we show that our CMon scheduler, which monitors path congestion in the data plane and dynamically adjusts scheduling weights for the different paths based on path state information, can process more than 3.5 Mpps packets 25 μs latency.
Web caches often use a Time-to-live (TTL) limit to validate data consistency with web servers. We study the impact of TTL constraints on the hit ratio of basic strategies in caches of fixed size. We derive analytical results and confirm their accuracy in comparison to simulations. We propose a score-based caching method with awareness of the current TTL per data for improving the hit ratio close to the upper bound.
Cooperative, connected and automated mobility (CCAM) systems depend on a reliable communication to provide their service and more crucially to ensure the safety of users. One way to ensure the reliability of a data transmission is to use multiple transmission technologies in combination with redundant flows. In this paper, we describe a system requiring multipath communication in the context of CCAM. To this end, we introduce a data plane-based scheduler that uses replication and integration modules to provide redundant and transparent multipath communication. We provide an analytical model for the full replication module of the system and give an overview of how and where the data-plane scheduler components can be realized.
The emerging serverless computing may meet Edge Cloud in a beneficial manner as the two offer flexibility and dynamicity in optimizing finite hardware resources. However, the lack of proper study of a joint platform leaves a gap in literature about consumption and performance of such integration. To this end, this paper identifies the key questions and proposes a methodology to answer them.
The Fifth Generation (5G) communication technology, its infrastructure and architecture, though already deployed in campus and small scale networks, is still undergoing continuous changes and research. Especially, in the light of future large scale deployments and industrial use cases, a detailed analysis of the performance and utilization with regard to latency and service times constraints is crucial. To this end, a fine granular investigation of the Network Function (NF) based core system and the duration for all the tasks performed by these services is necessary. This work presents the first steps towards analyzing the signaling traffic in 5G core networks, and introduces a tool to automatically extract sequence diagrams and service times for NF tasks from traffic traces.
Packets sent over a network can either get lost or reach their destination. Protocols like TCP try to solve this problem by resending the lost packets. However, retransmissions consume a lot of time and are cumbersome for the transmission of critical data. Multipath solutions are quite common to address this reliability issue and are available on almost every layer of the ISO/OSI model. We propose a solution based on a P4 network to duplicate packets in order to send them to their destination via multiple routes. The last network hop ensures that only a single copy of the traffic is further forwarded to its destination by adopting a concept similar to Bloom filters. Besides, if fast delivery is requested we provide a P4 prototype, which randomly forwards the packets over different transmission paths. For reproducibility, we implement our approach in a container-based network emulation system called Kathará.
For decades autonomy has been utilised as a concept in various social sciences, like sociology, political science, law and philosophy. Certain concepts of autonomy have always reflected the needs of the respective disciplines that made use of the term, but also ever infringed on the interpretation of autonomy in other disciplines. Most notably, conceptualisations of international and constitutional law have found their way into bordering sciences, like political science. The result: a legal positivist view prevailing in the conceptualisations of autonomy within political and administrative sciences. As this working paper points out, this perspective does not do justice to the complex phenomenon autonomy is or may be in social and political reality. Hence, the paper argues for a differentiated concept of autonomy, splitting it into autonomy claims, actors, process, rights and powers, regimes, and their institutions. The empirical world suggests a salience of formally and informally lived types of autonomy, especially in Latin America, due to the region’s indigenous population often living outside of, or within the limited reach of the state. Therefore, the paper aims to incorporate the dimension of informality – lacking in previous legal positivist approaches. Autonomy regimes could be entrenched in international, constitutional, or secondary law, or they could be tolerated by the state or seized by autonomy claimants by force. From a theoretical or conceptual perspective, the dimension of (in)formality facilitates the incorporation of autonomy into the discussion on governance and government, mostly on the local or regional level. Thus, the paper establishes autonomy regimes as a concept located at the verges of (self-)government and (self-)governance.
In this article we offer initial insights into the fairly new interdisciplinary and international domain of robotics in Christian religious practice. We are a group of scholars in media ethics, practical theology/religious education, and human computer interaction, who have been engaged in this discourse since 2017.
A natural starting point is our study of BlessU2, a “blessing robot,” a device which received considerable recognition from the global public at the Wittenberg 500th reformation anniversary in 2017. We thus begin with the results of this study. Secondly, we will briefly address the relevant theses from Gabriele Trovato et al., as presented in their 2019 article on so-called theomorphic robots – followed by our interdisciplinary discussion of their approach. Finally, we draw conclusions for further work on the field of “religious robots.”
Somewhat more carefully: Section 1 offers starting points within the perspectives of Christian religious practice: here, the blessing robot is both cause and occasion for doing religion and theologizing in the context of existential questions (1.1). We continue with perceptions in the field of religion regarding “Discursive Design Theory” (1.2). The interaction of humans with computers as posing questions for theological standardization of religious practice is focused upon in 1.3. Section 2 reconstructs the HRI/HCI-initiative to develop theomorphic robots in a twofold manner, i.e., the idea of developing theomorphic robots (2.1) and the concept of theomorphic robots: Questions and objections (2.2). In this part of the article we raise discussion points concerning the relationship between technology and religion and the need for sharpening the understanding of religion within the research field. Section 3 closes with propositions and alternatives.
Die Bedeutung der sozialen Bewegung Fridays for Future (FFF) ist auch nach der Covid-19-Pandemie hoch, was sich daran zeigt, dass am 23.09.2022 weltweit zahlreiche Demonstrierende beim globalen Klimastreik für Klimagerechtigkeit auf die Straße gingen. Aus dem großen Zuspruch für die Bewegung ergibt sich zum einen die Frage, was die Klimabewegung unter Gerechtigkeit versteht und zum anderen die Frage, wie sie diese politisch umsetzen möchte. Für die Untersuchung wird ein Ländervergleich zwischen den FFF-Gruppen Deutschland, Österreich, Italien und Ungarn vorgenommen. Die Autor:innen des Forschungsbeitrags führten mithilfe von Interviews mit Aktivist:innen, Analysen der Websites und des relevantesten Social Media-Kanals Fallanalysen durch. Die Forschungsarbeit kommt dabei zum Ergebnis, dass die Gerechtigkeitsvorstellungen der Gruppen nahezu übereinstimmen. Hinsichtlich der Umsetzungsperspektiven ergeben sich viele Gemeinsamkeiten bei der Netzwerkbildung und dem Agenda Setting der nationalen FFF-Gruppen. Während die konkreten Forderungen der Aktivist:innen an verschiedene Akteur:innen divergieren, ist allen vier untersuchten FFF-Gruppen gemein, dass die Politik der zentrale Adressat der Forderungen ist.
Um zu beweisen, daß Senecas Tragödien nicht aufführbar seien, hat Kugelmeier auf ihre zahlreichen Unstimmigkeiten und Widersprüche hingewiesen. Zum Beispiel begehe Phaedra Selbstmord über dem Leichnam des Hippolytus, als dieser noch gar nicht vorhanden ist. Für Kugelmeier werden diese Unstimmigkeiten allerdings, wenn der Text nur vorgelesen wird, infolge der „inneren Vergegenwärtigung“ nicht ernsthaft wahrgenommen. Die vorliegende Arbeit möchte genau das Gegenteil zeigen: Berücksichtigung dessen, was auf einer Bühne dargestellt werden kann und eindringliches Studium von Senecas Texten erweisen, daß die Tragödien aufführbar sind und nach Absicht Senecas auch für Aufführungen konzipiert wurden. In einer wohldurchdachten Aufführung verschwinden die von Kugelmeier behaupteten Schwierigkeiten.
Time-to-Live (TTL) caches decouple the occupancy of objects in cache through object-specific validity timers. Stateof- the art techniques provide exact methods for the calculation of object-specific hit probabilities given entire cache hierarchies with random inter-cache network delays. The system hit probability is a provider-centric metric as it relates to the origin offload, i.e., the decrease in the number of requests that are served by the content origin server. In this paper we consider a user-centric metric, i.e., the response time, which is shown to be structurally different from the system hit probability. Equipped with the state-of-theart exact modeling technique using Markov-arrival processes we derive expressions for the expected object response time and pave a way for its optimization under network delays.
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.
LoRaWAN Network Planning in Smart Environments: Towards Reliability, Scalability, and Cost Reduction
(2022)
The goal in this work is to present a guidance for LoRaWAN planning to improve overall reliability for message transmissions and scalability. At the end, the cost component is discussed. Therefore, a five step approach is presented that helps to plan a LoRaWAN deployment step by step: Based on the device locations, an initial gateway placement is suggested followed by in-depth frequency and channel access planning. After an initial planning phase, updates for channel access and the initial gateway planning is suggested that should also be done periodically during network operation. Since current gateway placement approaches are only studied with random channel access, there is a lot of potential in the cell planning phase. Furthermore, the performance of different channel access approaches is highly related on network load, and thus cell size and sensor density. Last, the influence of different cell planning ideas on expected costs are discussed.
Civil society organizations only started to be considered a sector in the 1970s in the United States. Amitai Etzioni pioneered the use of the expression third sector, which became common in academic and political literature. However, in the United States, the non-profit sector concept gradually became more robust and was spread internationally based on the studies conducted by Lester Salomon and associated researchers.
The theory built on the concept of the non-profit sector is strongly related to the North American cultural context, marked by the tradition of philanthropy and volunteerism, but with little importance given to associative and cooperative organizations.
The non-profit sector is implicitly or explicitly conceived as part of the private sphere. In contrast, theoretical currents such as liberal communitarianism, the theories of cooperation, common goods, social capital, European social economy, and the Latin American solidarity economy highlight the primacy of cooperation in solving collective problems. These theories underpin the associative approach of the third sector and link it to the community, not to the market.
This paper argues that the associative approach is more appropriate for international studies on the third sector and the relevance of self-organization. The third sector, i.e., the set of organizations created and maintained by civil society, is the inheritor of the millennial associative tradition, including both entities whose values are compatible with the common good and those with particularistic values, authoritarian and contrary to human rights. The third sector is not entirely virtuous, but it is a vital sector for solving great human problems.
Lightning has fascinated humanity since the beginning of our existence. Different types of lightning like sprites and blue jets were discovered, and many more are theorized. However, it is very likely that these phenomena are not exclusive to our home planet. Venus’s dense and active atmosphere is a place where lightning is to be expected. Missions like Venera, Pioneer, and Galileo have carried instruments to measure electromagnetic activity. These measurements have indeed delivered results. However, these results are not clear. They could be explained by other effects like cosmic rays, plasma noise, or spacecraft noise. Furthermore, these lightning seem different from those we know from our home planet. In order to tackle these issues, a different approach to measurement is proposed. When multiple devices in different spacecraft or locations can measure the same atmospheric discharge, most other explanations become increasingly less likely. Thus, the suggested instrument and method of VELEX incorporates multiple spacecraft. With this approach, the question about the existence of lightning on Venus could be settled.
The first step towards aerial planetary exploration has been made. Ingenuity shows extremely promising results, and new missions are already underway. Rotorcraft are capable of flight. This capability could be utilized to support the last stages of Entry, Descent, and Landing. Thus, mass and complexity could be scaled down.
Autorotation is one method of descent. It describes unpowered descent and landing, typically performed by helicopters in case of an engine failure. MAPLE is suggested to test these procedures and understand autorotation on other planets. In this series of experiments, the Ingenuity helicopter is utilized. Ingenuity would autorotate a ”mid-air-landing” before continuing with normal flight. Ultimately, the collected data shall help to understand autorotation on Mars and its utilization for interplanetary exploration.
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.
We attempt to identify sequences of signaling dialogs, to strengthen our understanding of the signaling behavior of IoT devices by examining a dataset containing over 270.000 distinct IoT devices whose signaling traffic has been observed over a 31-day period in a 2G network [4]. We propose a set of rules that allows the assembly of signaling dialogs into so-called sessions in order to identify common patterns and lay the foundation for future research in the areas of traffic modeling and anomaly detection.
This work proposes a novel approach to disperse dense transmission intervals and reduce bursty traffic patterns without the need for centralized control. Furthermore, by keeping the mechanism as close to the Long Range Wide Area Network (LoRaWAN) standard as possible the suggested mechanism can be deployed within existing networks and can even be co-deployed with other devices.
Utilizing multiple access technologies such as 5G, 4G, and Wi-Fi within a coherent framework is currently standardized by 3GPP within 5G ATSSS. Indeed, distributing packets over multiple networks can lead to increased robustness, resiliency and capacity. A key part of such a framework is the multi-access proxy, which transparently distributes packets over multiple paths. As the proxy needs to serve thousands of customers, scalability and performance are crucial for operator deployments. In this paper, we leverage recent advancements in data plane programming, implement a multi-access proxy based on the MP-DCCP tunneling approach in P4 and hardware accelerate it by deploying the pipeline on a smartNIC. This is challenging due to the complex scheduling and congestion control operations involved. We present our pipeline and data structures design for congestion control and packet scheduling state management. Initial measurements in our testbed show that packet latency is in the range of 25 μs demonstrating the feasibility of our approach.
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.
Tactile Internet aims at allowing perceived real-time interactions between humans and machines. This requires satisfying a stringent latency requirement of haptic data streams whose data rates vary drastically as the results of perceptual codecs. This introduces a complex problem for the underlying network infrastructure to fulfill the pre-defined level of Quality of Service (QoS). However, novel networking hardware with data plane programming capability allows processing packets differently and opens up a new opportunity. For example, a dynamic and network-aware resource management strategy can help satisfy the QoS requirements of different priority flows without wasting precious bandwidth. This paper introduces virtual queues for service differentiation between different types of traffic streams, leveraging protocol independent switch architecture (PISA). We propose coordinating the management of all the queues and dynamically adapting their sizes to minimize packet loss and delay due to network congestion and ensure QoS compliance.
This document presents a networking latency measurement setup that focuses on affordability and universal applicability, and can provide sub-microsecond accuracy. It explains the prerequisites, hardware choices, and considerations to respect during measurement. In addition, it discusses the necessity for exhaustive latency measurements when dealing with high availability and low latency requirements. Preliminary results show that the accuracy is within ±0.02 μs when used with the Intel I350-T2 network adapter.
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.
This paper gives an overview of our recent activities in the field of satellite communication networks, including an introduction to geostationary satellite systems and Low Earth Orbit megaconstellations. To mitigate the high latencies of geostationary satellite networks, TCP-splitting Performance Enhancing Proxies are deployed. However, these cannot be applied in the case of encrypted transport headers as it is the case for VPNs or QUIC. We summarize performance evaluation results from multiple measurement campaigns. In a recently concluded project, multipath communication was used to combine the advantages of very heterogeneous communication paths: low data rate, low latency (e.g., DSL light) and high data rate, high latency (e.g., geostationary satellite).
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.