Smart routing: towards proactive fault handling of software-defined networks

In recent years, the emerging paradigm of software-defined networking has become a hot and thriving topic in both the industrial and academic sectors. Software-defined networking offers numerous benefits against legacy networking systems by simplifying the process of network management through reducing the cost of network configurations. Currently, data plane fault management is limited to two mechanisms: proactive and reactive. These fault management and recovery techniques are activated only after a failure occurrence and hence packet loss is highly likely to occur. This is due to convergence time where new network paths will need to be allocated in order to forward the affected traffic rather than drop it. Such convergence leads to temporary service disruption and unavailability. Practically, not only the speed of recovery mechanisms affects the convergence, but also the delay caused by the process of failure detection. In this paper, we define a new approach for data plane fault management in software-defined networks where the goal is to eliminate the convergence process altogether rather than accelerate the failure detection and recovery. We propose a new framework, called Smart Routing, which allows the network controller to receive forewarning signs on failures and hence avoid risky paths before the failure incidents occur. The proposed approach aims to decrease service disruption, which in turn increases network service availability. We validate our framework through a set of experiments that demonstrate how the underlying model runs and its impact on improving service availability. We take as example of the applicability of the new framework three types of topologies covering real and simulated networks

IMPROVE - Innovative Modelling Approaches for Production Systems to Raise Validatable Efficiency

This open access work presents selected results from the European research and innovation project IMPROVE which yielded novel data-based solutions to enhance machine reliability and efficiency in the fields of simulation and optimization, condition monitoring, alarm management, and quality prediction

Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis

The work published in this book is related to the application of advanced signal processing in smart grids, including power quality, data management, stability and economic management in presence of renewable energy sources, energy storage systems, and electric vehicles. The distinct architecture of smart grids has prompted investigations into the use of advanced algorithms combined with signal processing methods to provide optimal results. The presented applications are focused on data management with cloud computing, power quality assessment, photovoltaic power plant control, and electrical vehicle charge stations, all supported by modern AI-based optimization methods

Space power distribution system technology. Volume 2: Autonomous power management

Electrical power subsystem requirements, power management system functional requirements, algorithms, power management subsystem, hardware development, and trade studies and analyses are discussed

Integrated Power Systems in All Electric Ships: Dependability Oriented Design

This work aims at providing a comprehensive and, as far as possible, standard and widely supported approach to a dependable design of all electric ship integrated power systems. The proposed approach is based upon latest development of dependability theory made recently available, from its founding lexicon and taxonomy to investigation tools and relevant international rules. In its first part, this work analyses present rule requirements governing the discipline of designing an integrated power system serving an all electric ship. Analysis covers system definitions (what is what) in terms of taxonomy and associated concepts; system required performances both in terms of delivered services and in terms of reaction to anticipated reactions to predetermined fault scenarios. In its second part, this work briefly presents latest developments in the theory and in the tools theory brings along: lexicon, taxonomy, system analysis, benchmarking and enforcing techniques. During this development, emphasis is posed on the fact that design documentation, be it owners’ technical specification, classification society rule book or international standard, often recall dependability concepts, without fully exploiting the potential theory is promising, or the completeness of its definition corpus. In its third part, this work applies dependability concepts to a real case scenario, an integrated power system installed on a recent cruise ship vessel. This application, albeit suffering from an important lack of information, due to copyrighting and industrial intellectual property rights, produces an informative example on the enquiring method and relevant deliverable: a system model, obtained in a strongly standardized way that permits a comprehensive and accurate dependability study, to be realized using tools and techniques defined in international standard. Results of this analysis are, as a consequence of method strong structure, repeatable and consistent, and allow quick verification of requirements. Analysis results, even though partial and superficial owing to already mentioned lack of accurate information, are offering some original view points. They are commented and classified according to indexes defined earlier. In its fourth part, this works presents proposals to be applied to systems which exhibited low values of indexes. Such proposals are briefly analyzed in terms of index value variations; in doing this a quantification of improvement that could be obtained is given. Finally, in its fifth part, this work shortly presents future research directions to improve investigation method. This work reports elements of project management and maritime law as well, this in force of the multidisciplinary nature of dependability theory, and its repercussion on different sector of the marine industry, besides engineering. It is show how present method can fit the actual engineering process, and can provide a common language serving as substrate for various disciplines, like the ones mentioned

Policy-based management of medical devices and applications

Die Arbeit präsentiert einen erweiterten Ansatz zum autonomen technischen Management, der das innovative Modell-basierte Management mit dem etablierten Policy-basierten Management kombiniert. Zur Planung des Systems wird ein umfassendes Modell des Management- und des zu verwaltenden Systems entworfen. Beide Systeme werden auf drei Abstraktionsschichten („Use Cases“, „Services“, „Components“) modelliert. Auf Basis der vorgestellten Ableitungsmuster (Evaluierungs-, Kontroll- und Verfeinerungsmuster) und der Zwischenschichtassoziationen wird der Prozess der Ableitung der Management-Policies automatisiert mit Hilfe eines Modellierungstools durchgeführt. Am Ende werden die zur Laufzeit vom Management ausführbaren Policies generiert. Der Ansatz wird im Rahmen des medizinischen Anwendungsfeldes erprobt. Es wird gezeigt, dass der Ansatz die Entwicklung und Verlässlichkeit sowie den Betrieb des medizinischen Geräte- und Anwendungsensembles unterstützt.This work presents an extended approach to the autonomous technical management, which combines the innovative model-based management with the established policy-based management technique. A comprehensive model of the managed and the management system is created. Both systems are modeled on three abstraction layers („Use Cases“, „Services“, „Components“). On the basis of the introduced policy derivation patterns (evaluation, control and refinement patterns) and intra-layer associations the policy derivation process is conducted automated by means of a modeling tool. Finally, runnable policies are generated which are enforced by the management at runtime. The approach is applied within the medical application field. It is demonstrated, that the presented technical management supports the development and dependable behavior of medical devices and applications