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Gemeinsamer Workshop von Universitaetsrechenzentrum und Professur Rechnernetze (Fakultaet Informatik) der TU Chemnitz. Globales Thema: Produktive und sichere Netzanwendungen

Mitteilungen des URZ 2/2002 (Inhalt siehe Schlagwörter)

The MPI_Barrier-collective operation, as a part of the MPI-1.1 standard, is extremely important for all parallel applications using it. The latency of this operation increases the application run time and can not be overlaid. Thus, the whole MPI performance can be decreased by unsatisfactory barrier latency. The main goals of this work are to lower the barrier latency for InfiniBand networks by analyzing well known barrier algorithms with regards to their suitability within InfiniBand networks, to enhance the barrier operation by utilizing standard InfiniBand operations as much as possible, and to design a constant time barrier for InfiniBand with special hardware support. This partition into three main steps is retained throughout the whole thesis. The first part evaluates publicly known models and proposes a new more accurate model (LoP) for InfiniBand. All barrier algorithms are evaluated within the well known LogP and this new model. Two new algorithms which promise a better performance have been developed. A constant time barrier integrated into InfiniBand as well as a cheap separate barrier network is proposed in the hardware section. All results have been implemented inside the Open MPI framework. This work led to three new Open MPI collective modules. The first one implements different barrier algorithms which are dynamically benchmarked and selected during the startup phase to maximize the performance. The second one offers a special barrier implementation for InfiniBand with RDMA and performs up to 40% better than the best solution that has been published so far. The third implementation offers a constant time barrier in a separate network, leveraging commodity components, with a latency of only 2.5 microseconds. All components have their specialty and can be used to enhance the barrier performance significantly.

Verbundprojekt "Entwicklung einer Systemlösung für die Schulen der Stadt Chemnitz zur Unterstützung des fachübergreifenden Einsatzes neuer Medien" (SyS-C) Förderkennzeichen: 01NM254B Laufzeit des Vorhabens: 01.06.2004 bis 31.05.2007 Durch das Bundesministerium für Bildung und Forschung und den Europäischen Sozialfonds gefördertes Projekt Abstract: Mit dem Projekt SyS-C hat die Stadt Chemnitz eine zentrale Systemlösung für alle Chemnitzer Schulen geschaffen, die diesen eine zeitgemäße IT-Lösung zu bezahlbaren Kosten zur Verfügung stellt. Die Lösung entlastet die Lehrenden von administrativen Aufgaben, ist einfach zu bedienen und macht so für die Lehrkräfte die Nutzung der neuen Medien dauerhaft und mit hoher Verlässlichkeit möglich. Die Lösung besteht aus einer Schulserver-Software, die speziell die Anforderungen des schulischen Alltags berücksichtigt, für alle Schulformen geeignet ist, plattformunabhängig Client-Systeme unterstützt und zentral administriert werden kann. Auf dieser Basis werden alle Schulen über VPN-Verbindungen mit dem in Chemnitz aufgebauten Schulrechenzentrum verbunden. Dieses Intranet ist die Basis der zentralen Administration. Die Arbeit untersucht verschiedene Architekturen und Lösungen für den Aufbau von Schulnetzen. Die im Projekt SyS-C eingesetzte Software wird dabei besonders berücksichtigt. Es werden Vorschläge für die Verbesserung und Weiterentwicklung der Software gemacht.

Die "Mitteilungen des URZ" informieren die Nutzer des Universitätsrechenzentrums der TU Chemnitz umfassend über neue Dienste und Projekte, vermitteln ggf. Hintergrundwissen und dienen der Berichterstattung.

<div><div><div><p>This project aims to develop a cloud-based platform that integrates sensors with business intelligence for real-time energy management at the plant level. It provides facility managers, an energy management platform that allows them to monitor equipment and plant-level energy consumption remotely, receive a warning, identify energy loss due to malfunction, present options with quantifiable effects for decision-making, and take actions, and assess the outcomes. The objectives consist of:</p><ol><li><p>Developing a generic platform for the monitoring energy consumption of industrial equipment using sensors</p></li><li><p>Control the connected equipment using an actuator</p></li><li><p>Integrating hardware, cloud, and application algorithms into the platform</p></li><li><p>Validating the system using an Energy Consumption Forecast scenario</p></li></ol><p>A Demo station was created for testing the system. The demo station consists of equipment such as air compressor, motor and light bulb. The current usage of these equipment is measured using current sensors. Apart from current sensors, temperature sensor, pres- sure sensor and CO2 sensor were also used. Current consumption of these equipment was measured over a couple of days. The control system was tested randomly by turning on equipment at random times. Turning on the equipment resulted in current consumption which ensured that the system is running. Thus, the system worked as expected and user could monitor and control the connected equipment remotely.</p></div></div></div>

With the progress of deep learning methods the last couple of years, object detection related tasks are improving rapidly. Using object detection for detecting guns in schools remove the need for human supervision and hopefully reduces police response time. This paper investigates how a gun detection system can be built by reading frames locally and using a server for detection. The detector is based on a pre-trained SSD model and through transfer learning is taught to recognize guns. The detector obtained an Average Precision of 51.1% and the server response time for a frame of size 1920 x 1080 was 480 ms, but could be scaled down to 240 x 135 to reach 210 ms, without affecting the accuracy. A non-gun class was implemented to reduce the number of false positives and on a set of 300 images containing 165 guns, the number of false positives dropped from 21 to 11.

In this project, two tests were performed. On the first test, Mininet-WiFi was used to simulate a Software Defined Network to demonstrate Mininet-WiFi’ s ability to be used as the Software Defined Network emulator which can also be integrated to the existing network using a Network Virtualized Function (NVF). A typical organization’s computer network was simulated which consisted of a website hosted on the LAMP (Linux, Apache, MySQL, PHP) virtual machine, and an F5 application delivery controller (ADC) which provided load balancing of requests sent to the web applications. A website page request was sent from the virtual stations inside Mininet-WiFi. The request was received by the application delivery controller, which then used round robin technique to send the request to one of the web servers on the LAMP virtual machine. The web server then returned the requested website to the requesting virtual stations using the simulated virtual network. The significance of these results is that it presents Mininet-WiFi as an emulator, which can be integrated into a real programmable networking environment offering a portable, cost effective and easily deployable testing network, which can be run on a single computer. These results are also beneficial to modern network deployments as the live network devices can also communicate with the testing environment for the data center, cloud and mobile provides. On the second test, a Software Defined Network was created in Mininet using python script. An external interface was added to enable communication with the network outside of Mininet. The amazon web services elastic computing cloud was used to host an OpenDaylight controller. This controller is used as a control plane device for the virtual switch within Mininet. In order to test the network, a webserver hosted on the Emulated Virtual Environment – Next Generation (EVENG) software is connected to Mininet. EVE-NG is the Emulated Virtual Environment for networking. It provides tools to be able to model virtual devices and interconnect them with other virtual or physical devices. The OpenDaylight controller was able to create the flows to facilitate communication between the hosts in Mininet and the webserver in the real-life network. / Electrical and Mining Engineering