@inproceedings{15368, abstract = {{Service Level Agreements are essential tools enabling clients and telco operators to specify required quality of service. The 5GTANGO NFV platform enables SLAs through policies and custom service lifecycle management components. This allows the operator to trigger certain lifecycle management events for a service, and the network service developer to define how to execute such events (e.g., how to scale). In this demo we will demonstrate this unique 5GTANGO concept using an elastic proxy service supported by a high availability SLA enforced through a range of traffic regimes.}}, author = {{Soenen, Thomas and Vicens, Felipe and Bonnet, José and Parada, Carlos and Kapassa, Evgenia and Touloupou, Marious and Fotopulou, Eleni and Zafeiropoulos, Anastasios and Pol, Ana and Kolometsos, Stavros and Xilouris, George and Alemany, Pol and Vilalta, Ricard and Trakadas, Panos and Karkazis, Panos and Peuster, Manuel and Tavernier, Wouter}}, booktitle = {{2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)}}, issn = {{1573-0077}}, keywords = {{5G mobile communication, contracts, quality of service, telecommunication traffic, virtualisation, custom service lifecycle management components, lifecycle management events, network service developer, elastic proxy service, SLA-controlled proxy service, customisable MANO, operator policies, Service Level Agreements, unique 5G TANGO concept, 5G TANGO NFV platform, quality of service, traffic regimes, high availability SLA, Monitoring, Probes, Portals, Quality of service, Tools, Servers, Graphical user interfaces}}, location = {{Arlington, VA, USA, USA}}, pages = {{707--708}}, title = {{{SLA-controlled Proxy Service Through Customisable MANO Supporting Operator Policies}}}, year = {{2019}}, } @inproceedings{9949, abstract = {{Intelligent mechatronic systems other the possibility to adapt system behavior to current dependability. This can be used to assure reliability by controlling system behavior to reach a pre-defined lifetime. By using such closed loop control, the margin of error of useful lifetime of an individual system is lowered. It is also possible to change the pre-defined lifetime during operation, by adapting system behavior to derate component usage. When planning maintenance actions, the remaining useful lifetime of each individual system has to be taken into account. Usually, stochastic properties of a fleet of systems are analyzed to create maintenance plans. Among these, the main factor is the probability of an individual system to last until maintenance. If condition-based maintenance is used, this is updated for each individual system using available information about its current state. By lowering the margin of error of useful lifetime, which directly corresponds to the time until maintenance, extended maintenance periods are made possible. Also using reliability-adaptive operation, a reversal of degradation driven maintenance planning is possible where a maintenance plan is setup not only according to system properties, but mainly to requirements imposed by maintenance personnel or infrastructure. Each system then adapts its behavior accordingly and fails according to the maintenance plan, making better use of maintenance personnel and system capabilities at the same time. In this contribution, the potential of maintenance plan driven system behavior adaptation is shown. A model including adaptation process and maintenance actions is simulated over full system lifetime to assess the advantages gained.}}, author = {{Meyer, Tobias and Kaul, Thorben and Sextro, Walter}}, booktitle = {{Proceedings of the 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes}}, keywords = {{Adaptive systems, Reliability analysis, Availability, Adaptive control, Maintenance, Self-optimizing systems, Self-optimizing control, Stochastic Petri-nets}}, pages = {{940--945}}, title = {{{Advantages of reliability-adaptive system operation for maintenance planning}}}, doi = {{10.1016/j.ifacol.2015.09.647}}, year = {{2015}}, } @inproceedings{9763, abstract = {{Recent advances in information processing enable new kinds of technical systems, called self-optimizing systems. These systems are able to adapt their objectives and their behavior according to the current situation and influences autonomously. This behavior adaptation is non-deterministic and hence self-optimization is a risk to the system, e.g. if the result of the self-optimization process does not match the suddenly changed situation. In contrary, self-optimization could be used to increase the dependability by pursuing objectives like reliability and availability. In our preceding publications we introduced the so called multi-level dependability concept to cope with this new kind of systems (cf. [6]). This concept comprises the monitoring of the system behavior, the classification of the current situation, and the selection of the appropriate measure, if reliability limits are exceeded. In this paper we present for the first time experimental results. The dependability concept is implemented in the self-optimizing active guidance system of a railway vehicle. The test drives illustrate clearly that the proposed concept is able to cope with, e.g., sensor failures, and is able to increase the reliability and availability of the active guidance module.}}, author = {{Sondermann-Wölke, Christoph and Geisler, Jens and Sextro, Walter}}, booktitle = {{Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual}}, issn = {{0149-144X}}, keywords = {{availability, dependability concept, multilevel dependability concept, railway vehicle, reliability, self optimizing active guidance system, self optimizing railway guidance system, situation classification, system behavior monitoring, optimal control, railways, reliability theory, self-adjusting systems}}, pages = {{1 --6}}, title = {{{Increasing the reliability of a self-optimizing railway guidance system}}}, doi = {{10.1109/RAMS.2010.5448080}}, year = {{2010}}, }