Closed WiN-Labor Projects

WiN-Labor (2021-2022): Perspectives for the future in the network: Investigations on quantum networks, time synchronization and efficient resource management in the network

This project dealt with preparation for quantum networks, investigations of time synchronization in the network and methods for automation of network provisioning (DFN-GVS). All developments and investigations served to collect evaluations and experiences with regard to new techniques for the future generation of the research network.

WiN-Labor (2019-2020): Automation and validation in network operation (workflows, network provisioning and automated visualization)

This WiN-Lab project focused on automation and validation of data. The main focus was

• • The development of software for automated fault management and configuration management
  • The automatic provisioning of virtual networks with DFN-GVS.

All developments served to simplify workflows, reduce complexity through automation, avoid inconsistencies and clearly present measurement data.

WiN-Labor (2017-2018): Piloting DFN Testbed Service and Quality Assurance in X-WiN

In the project period 2017 – 2018, the WiN Lab at RRZE focused on the following three main areas with regard to deployment and implementation in the German research network X-WiN:

• • Developing software to optimize operational processes and quality assurance.
  • The development of a new DFN-GVS service and operation as a prototype
  • Monitoring and visualization.

WiN-Labor (2015-2016): Monitoring and QoS Tools for the German Research Network

In this project, the WiN-Lab worked on building the first DFN testbed service. This testbed service is intended to enable users to create independent isolated testbeds, which can contain virtual machines, OpenFlow switches, links and / or bare metal servers. These are suitable, among other things, for testing newly developed Internet protocols and network security investigations outside a production network. The service is oriented towards the European GÉANT Testbeds service and provides additional resources on a national level for research purposes.

WiN-Labor (2013-2014): Internal quality control in the German Research Network

New optical wavelength multiplexing technology for the German research network X-WiN

The X-WiN was given a new optical platform (OTN) in accordance with ITU standard G.709/G.872 with the aim of achieving a higher transmission rate, flexible connection paths and modern switching technology. This was implemented using OMLT (Optimized Multi-Layer Transport) technology with integrated DWDM (Dense Wavelength Division Multiplexing) / switching functionality from the “Apollo” product family of ECI Telecom from Israel. The high transmission capacity was guaranteed with 88 wavelengths per fiber link and transmission rates of up to 100 Gbps. The new DWDM technology was installed in the X-WiN at all 54 core network sites, 45 repeater sites and 12 user sites of the German Weather Service and connected to optical fibers with a total length of more than 10,000 km. At the IP level, starting from the new optical platform, mainly the spans coming from the four supercore sites (Erlangen, Hannover, Frankfurt, Berlin) were reinforced.

IP-Performance-Measurements (IPPM) in X-WiN

In the IPPM system HADES (HADES Active Delay Evaluation System), two existing measurement boxes of the ‘Supercore Ring’ were replaced by new high-performance measurement boxes. This enabled bandwidth measurements of up to 10Gbit/s to be carried out. It was thus possible to evaluate data on more than 3500 measurement links.

WiN-Labor (2011-2012): Quality assurance X-WiN

HADES-Measurements in X-WiN

The self-developed system continuously collects the performance metrics one-way delay, delay variation, packet loss and hop count in X-WiN. The system ran on five different hardware generations, the oldest being from 2002. Offers for a technical refitting of the measurement points were obtained and software and hardware tests conducted. The obtained data from more than  3500 measurement links was collected and evaluated. Following a measurement map of the topological connections of the X-WiN can be seen.

Performance-Measurements: HADES – now self-installation possible

In this project the WiN-Lab developed measurement system HADES (HADES Active Delay Evaluation System) was deployed for performance measurements in networks. In the past the system had to be manually configured and adopted for every measurement environment. Starting with the end of 2011 a self-installation version was available. HADES is an active measurement tool which uses measurement packages for the network monitoring. Usually groups of UDP (User Datagram Protocol) packages are send which contain a time stamp (based on a GPS hardware clock) and an ongoing sequence number. The reciever then determines the exact arrival times. Using these information the performance metrics one-way delay, one-way delay variation and paket loss are obtained. During the project HADES was deployed for IP perfomance measurements at more than 57 locations within the German research network X-WiN. Furthermore HADES was also used in the European research network GÉANT, in the LHCOPN (Large Hadron Collider, CERN) and the European testbed FEDERICA.

WiN-Labor (2009-2010): Quality assurance in X-WiN

Accounting in X-WiN

The WiN-Lab developed an accounting system which manages traffic data of the inbound interfaces in X-WiN obtained from the NetFlow protocol running on the routers. This enables the possibility of traffic control, e.g. for topology adaptions. The data is aggregated and can be accessed by the DFN via a web interface. Furthermore the database used for the accounting system was extended to support different time zones enabling data export independent of local time zones.

IP-Performance-Measurments in X-WiN

In order to monitor the Quality of Service of network connections, the WiN-Lab as part of projects of the DFN developed a measurement system for network metrics like one-way delay, one-way delay variation and paket loss. Starting from a single measurement station in the German research network X-WiN in summer 2002, the system globally spread via the European research network GEANT. By applying statistical methods to the obtained delay data bottlenecks in the network can be identified.

 

Version: 28.02.2024