TECHNIQUES TO FACILITATE INTELLIGENT MEC APPLICATION DEPLOYMENT FOR PRIVATE 5G ENTERPRISE NETWORKS

Private 5G networks are emerging that allow a cellular network to be deployed and operated as an extension of an enterprise network. The deployment of such a private 5G cellular network typically involves the integration of cellular network components with exiting elements of an enterprise network, such as using the existing network to implement fronthaul, midhaul, and backhaul network connectivity. A key advantage of 5G cellular connectivity is the ability to offer edge compute resources to user equipment through the use of multi-access edge compute (MEC) deployments. However, in an enterprise network, edge compute resources may be scarce. In order to address such issues, novel techniques are proposed herein that provide for a MEC deployment controller that enables the deployment of enterprise edge applications to a radio access network of an enterprise network

Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

Automated Machine Learning (AutoML) supports practitioners and researchers with the tedious task of designing machine learning pipelines and has recently achieved substantial success. In this paper, we introduce new AutoML approaches motivated by our winning submission to the second ChaLearn AutoML challenge. We develop PoSH Auto-sklearn, which enables AutoML systems to work well on large datasets under rigid time limits by using a new, simple and meta-feature-free meta-learning technique and by employing a successful bandit strategy for budget allocation. However, PoSH Auto-sklearn introduces even more ways of running AutoML and might make it harder for users to set it up correctly. Therefore, we also go one step further and study the design space of AutoML itself, proposing a solution towards truly hands-free AutoML. Together, these changes give rise to the next generation of our AutoML system, Auto-sklearn 2.0. We verify the improvements by these additions in an extensive experimental study on 39 AutoML benchmark datasets. We conclude the paper by comparing to other popular AutoML frameworks and Auto-sklearn 1.0, reducing the relative error by up to a factor of 4.5, and yielding a performance in 10 minutes that is substantially better than what Auto-sklearn 1.0 achieves within an hour

Auto-Sklearn 2.0: The Next Generation

Automated Machine Learning, which supports practitioners and researchers with the tedious task of manually designing machine learning pipelines, has recently achieved substantial success. In this paper we introduce new Automated Machine Learning (AutoML) techniques motivated by our winning submission to the second ChaLearn AutoML challenge, PoSH Auto-sklearn. For this, we extend Auto-sklearn with a new, simpler meta-learning technique, improve its way of handling iterative algorithms and enhance it with a successful bandit strategy for budget allocation. Furthermore, we go one step further and study the design space of AutoML itself and propose a solution towards truly hand-free AutoML. Together, these changes give rise to the next generation of our AutoML system, Auto-sklearn (2.0). We verify the improvement by these additions in a large experimental study on 39 AutoML benchmark datasets and conclude the paper by comparing to Auto-sklearn (1.0), reducing the regret by up to a factor of five

Evidence for different accretion regimes in GRO J1008-57

We present a comprehensive spectral analysis of the BeXRB GRO J1008-57 over a luminosity range of three orders of magnitude using NuSTAR, Suzaku and RXTE data. We find significant evolution of the spectral parameters with luminosity. In particular the photon index hardens with increasing luminosity at intermediate luminosities between $10^{36}$ $-$ $10^{37}$ erg s$^{-1}$. This evolution is stable and repeatedly observed over different outbursts. However, at the extreme ends of the observed luminosity range, we find that the correlation breaks down, with a significance level of at least $3.7\sigma$. We conclude that these changes indicate transitions to different accretion regimes, which are characterized by different deceleration processes, such as Coulomb or radiation breaking. We compare our observed luminosity levels of these transitions to theoretical predications and discuss the variation of those theoretical luminosity values with fundamental neutron star parameters. Finally, we present detailed spectroscopy of the unique "triple peaked" outburst in 2014/15 which does not fit in the general parameter evolution with luminosity. The pulse profile on the other hand is consistent with what is expected at this luminosity level, arguing against a change in accretion geometry. In summary, GRO J1008-57 is an ideal target to study different accretion regimes due to the well constrained evolution of its broad-band spectral continuum over several orders of magnitude in luminosity.Comment: 13 pages, 7 figures, 3 tables. Accepted for publication in A&

Equivalence of reflection paths of light and Feynman paths in stacked metasurfaces

We show the existence of virtual polarization states during the interaction of modes in metasurface stacks. In support of our findings we experimentally realize a metasurface stack, consisting of an isotropic layer of nanopatches and an anisotropic layer of nanowires. Utilizing an analogy to the interaction of electrons at junctions in mesoscopic electron transport via Feynman paths, we present a semi-analytic description of the modal interaction inside this stack. We then derive a series of all possible reflection paths light can take inside the metasurface stack

Rote Liste und Artenverzeichnis der Schnecken und Muscheln Baden-Württembergs

Die vorliegende Veröffentlichung umfasst zwei Grundbausteine. Zum einen die offizielle Rote Liste mit Nennung der Gefährdungskategorien, zum anderen ein revidiertes systematisches Gesamtartenverzeichnis der Mollusken Baden-Württembergs. Die Rote Liste dient zum schnellen Feststellen der jeweiligen Gefährdungskategorien der einzelnen Arten in Baden-Württemberg und ist wie üblich alphabetisch nach Gattungen geordnet. Sehr großer Wert wurde auf die sorgfältige Analyse der Ergebnisse gelegt (Kapitel 7). Das Gesamtartenverzeichnis dient der aktuellen systematischen Einordnung aller Arten, weshalb hier die Taxa im Kontext des wissenschaftlichen Systems der Mollusken aufgeführt werden. Im systematischen Artenverzeichnis soll der momentane Kenntnisstand über die Mollusken Baden-Württembergs in knapper Darstellung zum Ausdruck kommen. Hier sind auch die bekannten Unterarten aufgeführt und es werden zusätzliche Informationen zum Verbreitungstyp, zur Verbreitung (Vorkommen in den Naturräumen 3. Ordnung) sowie zur Ökologie (Zuordnung einzelner Arten zu bestimmten Biotoptypen) gegeben. Mit diesen Zusatzinformationen werden Rote Listen und Artenverzeichnisse zu Gradmessern der Biodiversitätsforschung. In über 130 ‚Anmerkungen‘ werden die entsprechenden Angaben zur Systematik, Verbreitung und Ökologie präzisiert und es wird auf die hierfür zu Grunde liegende Literatur verwiesen. Alle Angaben der Roten Liste sind auch im ausführlichen systematischen Artenverzeichnis enthalten. In beiden Listen sind die Arten mit ihrer laufenden Nummer aufgeführt. Damit ist ein problemloser Wechsel von der Roten Liste zu den Angaben im systematischen Artenverzeichnis gewährleistet. Der Forschungsstand findet sich vielfach in der historischen Literatur, die deshalb eine sorgfältige und kritische Berücksichtigung erfuhr (siehe Anmerkungen und Literaturverzeichnis). Einen unschätzbaren Wert haben in diesem Zusammenhang die zahlreichen Veröffentlichungen David Geyer‘s, die den Beginn der modernen Regionalfaunisik in Baden-Württemberg kennzeichnen. Ein eigenes Kapitel zur Forschungsgeschichte hätte jedoch den vorgegebenen Rahmen dieser Arbeit gesprengt