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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.
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.