Konzeption und Realisierung einer Crowd Sensing Anwendung zur Verarbeitung generischer Fragebögen für Windows Phone

Durch starke Integration von Smartphones im Alltag ergibt sich die Möglichkeit zu nahezu jedem Zeitpunkt Daten zu erfassen. Diese Daten können nicht nur mit den Sensoren in Smartphones, sondern auch durch direkte Benutzereingaben, zum Beispiel über Fragebögen, erhoben werden. Dies ermöglicht die Entwicklung und den Einsatz von mobilen Anwendungen für verschiedenste Szenarien. Dadurch stellt sich, vor allem für Anwendungen mit Fragebögen, das Problem, dass für jeden Anwendungsfall eine spezielle Lösung entwickelt werden muss. Fragebögen bestehen zu einem Großteil aus generisch zusammengesetzten Grundelementen, welche in ihrer Struktur immer gleich sind. Somit ist es möglich anhand eines Schemas eine Vielzahl von Anwendungsfällen abzubilden. Im Rahmen dieser Arbeit wird eine mobile Crowd Sensing Anwendung für Windows Phone konzeptioniert und realisiert, welche solche generisch zusammengesetzte Fragebögen, unbeachtet des Anwendungsfalls, verarbeiten kann

Are Kubernetes CNI solutions ready for >10 Gbit/s?

The growth in variety of Container Network Interface (CNI) implementations as well as increasing Kubernetes adoption on bare metal require a thorough assessment of its performance characteristics. Specifically, the question whether CNI can saturate network links above 10 Gbit/s is of interest. This paper highlights an initial approach and central research questions towards the goal of this assessment. Therefore, we propose a method to acquire measurements that act as a groundwork for further investigations. Preliminary results show that a simple setup is not able to saturate even a 50 Gbit/s link

Recognition of Similar NetFlow Data in Decentralised Monitoring Environments

One of the main challenges in the analysis of NetFlow data in decentralised monitoring environments comes from merging datasets from different independent sites. One problem is to identify similar data points which can impact derived metrics from such data directly. This article provides a proof of concept how similarity measurements based on distance metrics can be used to identify similar or related flows from different datasets. For this, several domains are outlined which can benefit from this approach to support validation of research scenarios and data analysis

Dissertatio Philosophica De Poenis

Quam ... Praeside ... Johanne Eisenhart I.U.D. ... Publico examini subiiciet die XVI. Iulii Georgius Grund Stadensis. A. & RespondensAlternativer Fingerprint (ohne [2] Bl. franz. Brief an den Vater und "Nobilissimo huius Dissert. Auctori ..."): r-on u-am inli gaca C 1681RVorlageform des Erscheinungsvermerks: Helmestadi[i], Typis Haeredum Henrici Davidis Mülleri. Acad. Typ. Anno MDCLXXXI

The impact of the storage tier: A baseline performance analysis of containerized DBMS

Containers emerged as cloud resource offerings. While the advantages of containers, such as easing the application deployment, orchestration and adaptation, work well for stateless applications, the feasibility of containerization of stateful applications, such as database management system (DBMS), still remains unclear due to potential performance overhead. The myriad of container operation models and storage backends even raises the complexity of operating a containerized DBMS. Here, we present an extensible evaluation methodology to identify performance overhead of a containerized DBMS by combining three operational models and two storage backends. For each combination a memory-bound and disk-bound workload is applied. The results show a clear performance overhead for containerized DBMS on top of virtual machines (VMs) compared to physical resources. Further, a containerized DBMS on top of VMs with different storage backends results in a tolerable performance overhead. Building upon these baseline results, we derive a set of open evaluation challenges for containerized DBMSs

C-Reactive Protein Pretreatment-Level Evaluation for Ewing’s Sarcoma Prognosis Assessment—A 15-Year Retrospective Single-Centre Study

Background: A pathological/inflamed cellular microenvironment state is an additional risk factor for any cancer type. The importance of a chronic inflammation state in most diffuse types of tumour has already been analysed, except for in Ewing’s sarcoma. It is a highly malignant blue round cell tumour, with 90% of cases occurring in patients aged between 5 and 25 years. Worldwide, 2.9 out of 1,000,000 children per year are affected by this malignancy. The aim of this retrospective study was to analyse the role of C-reactive protein (CRP) as a prognostic factor for Ewing’s sarcomas. Methods: This retrospective study at Klinikum rechts der Isar included 82 patients with a confirmed Ewing’s sarcoma diagnosis treated between 2004 and 2019. Preoperative CRP determination was assessed in mg/dL with a normal value established as below 0.5 mg/dL. Disease-free survival time was calculated as the time between the initial diagnosis and an event such as local recurrence or metastasis. Follow-up status was described as death of disease (DOD), no evidence of disease (NED) or alive with disease (AWD). The exclusion criteria of this study included insufficient laboratory values and a lack of information regarding the follow-up status or non-oncological resection. Results: Serum CRP levels were significantly different in patients with a poorer prognosis (DOD) and in patients who presented distant metastasis (p = 0.0016 and p = 0.009, respectively), whereas CRP levels were not significantly different in patients with local recurrence (p = 0.02). The optimal breakpoint that predicted prognosis was 0.5 mg/dL, with a sensitivity of 0.76 and a specificity of 0.74 (AUC 0.81). Univariate CRP analysis level >0.5 mg/dL revealed a hazard ratio of 9.5 (95% CI 3.5–25.5). Conclusions: In Ewing’s sarcoma cases, we consider a CRP pretreatment value >0.5 mg/dL as a sensitive prognostic risk factor indication for distant metastasis and poor prognosis. Further research with more data is required to determine more sensitive cutoff levels