Felix Strohmeier

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The AQUILA project defines and implements a QoS architecture for dynamic end-to-end service provisioning in IP networks. This paper presents the distributed QoS measurement architecture (DMA) designed as a part of AQUILA. The scope of QoS measurement in AQUILA is the evaluation and validation of the AQUILA architecture and the support of the AQUILA resource(More)
This paper discusses the application of measurement-based admission control methods for efficient resource utilization in the premium variable bit rate service of the AQUILA QoS IP network. The design of the architecture for measuring aggregate mean bit rate to support admission control is presented together with the results of testbed experiments with the(More)
The paper proposes meta-data models for information about public repositories of measurement and monitoring data and tools. The meta-data model consists of a set of attributes, which describe the features of the actual data of interest. The discussed meta-data models constitute a base for the advanced meta-repository of measurement tools and data, which was(More)
The increase of traffic in IP networks, leads operators to search for efficient tools to monitor it in order to support QoS. Several infrastructures to measure traffic and monitor routing have been deployed but SLA can not rely on them because of their lack of interoperability. MOMENT project is currently developing a mediator to access most of available(More)
In this paper we present a flow-based method to evaluate network performance based on round-trip time (RTT). Using passively gathered flow-based data has advantages in both, performance and privacy, compared to active methods or passive packet-based approaches. The proposed algorithm is able to work on legacy Netflow v9 and IPFIX data, without being(More)
In this work we describe a methodology to estimate one-way packet loss from IPFIX or NetFlow flow records collected at two monitoring points. The proposed method does not require tight synchronization between the two monitoring points, nor it relies upon external routing information. It can run online or offline, and can work on legacy IPFIX/NetFlow traces(More)
This paper presents our architectural approach to building a collaborative Industry 4.0 platform that enables IoT-based real-time monitoring, optimization and negotiation in manufacturing supply chains. The platform is called NIMBLE and is currently being developed in a European research project. The presented approach utilizes microservice technology, and(More)