Data stream processing in the industrial as well as in the academic field has gained more and more importance during the last years. Consider the monitoring of industrial processes as an example. There, sensors are mounted to gather lots of data within a short time range. Storing and post-processing these data may occasionally be useless or even impossible. On the one hand, only a small part of the monitored data is relevant. To efficiently use the storage capacity, only a preselection of the data should be considered. On the other hand, it may occur that the volume of incoming data is generally too high to be stored in time or–in other words–the technical efforts for storing the data in time would be out of scale. Processing data streams in the context of this thesis means to apply database operations to the stream in an on-the-fly manner (without explicitly storing the data). The challenges for this task lie in the limited amount of resources while data streams are potentially infinite. Furthermore, data stream processing must be fast and the results have to be disseminated as soon as possible. This thesis focuses on the latter issue. The goal is to provide a so-called Quality-of-Service (QoS) for the data stream processing task. Therefore, adequate QoS metrics like maximum output delay or minimum result data rate are defined. Thereafter, a cost model for obtaining the required processing resources from the specified QoS is presented. On that basis, the stream processing operations are scheduled. Depending on the required QoS and on the available resources, the weight can be shifted among the individual resources and QoS metrics, respectively. Calculating and scheduling resources requires a lot of expert knowledge regarding the characteristics of the stream operations and regarding the incoming data streams. Often, this knowledge is based on experience and thus, a revision of the resource calculation and reservation becomes necessary from time to time. This leads to occasional interruptions of the continuous data stream processing, of the delivery of the result, and thus, of the negotiated Quality-of-Service. The proposed robustness concept supports the user and facilitates a decrease in the number of interruptions by providing more resources.

Quality of service is commonly used to shape network traffic to meet specified criteria. The various scenarios include limiting and reserving bandwidth for a particular application, host or user, prioritizing latency sensitive traffic or equal distribution of unreserved bandwidth. The DynShaper software distributes and controls a traffic quota by more sophisticated means than fixed per user limits and simple disconnection after the user reaches the limit. It distributes the quota on a daily basis, where each day receives the same share. The users are sorted into predefined groups with different bandwidths depending on their recent consumption. This classification is periodically updated to ensure the sorting order is maintained. The bandwidths of these groups is dynamically adjusted depending on the actual consumption to provide an efficient utilization. This thesis presents another distribution model using a case-based reasoning approach, a method for machine learning which is classified as conventional artificial intelligence. Case-based reasoning tries to solve new problems based on the solutions of similar problems from the past. Controlling the network traffic to remain within a fixed quota can be modeled as such a problem if the traffic patterns are recurring. Possible solutions can be derived from statistical data and altered to suit the new problems. When an untested solution is applied, the software supervises the execution and revises the solution accordingly, if the actual results deviate from the precalculated schedule.

The increasing number of delay and loss critical services in packet networks require differentiated packet handling in the forwarding plane. Quality of Service (QoS) guarantees can be given for networks using resource reservation and admission control. However, such strategies require complex control plane extensions and might lead to higher operation expenditures. Network operators therefore often use over-provisioning and traffic differentiation to offer cheaper class of service quality in their internet protocol (IP) packet networks. Priority marking and forwarding of packetized data traffic can be realized mainly using different layer two and three mechanisms. The number of differentiated classes and their autonomous system (AS) internal implementation is at the operator’s choice. This paper proposes a concept of cross-domain and cross-layer priority signaling between packet switched networks to be used at the inter-AS peering points. It makes use of the Border Gateway Protocol (BGP) as the predominantly used routing protocol for AS peering communication. A new BGP-4 path attribute is used to convey the structured priority information. The new concept ensures that all receiving AS peers are consistently and comprehensively informed about the QoS handling within the IP prefix originating AS. Based on this information, all ASes can perform close QoS treatment approximation in a cross-domain and cross-layer manner. The approach is now work in progress at the IETF.

The increasing number of delay and loss critical services in packet networks require differentiated packet handling in the forwarding plane. Quality of Service (QoS) guarantees can be given for networks using resource reservation and admission control. However, such strategies require complex control plane extensions and might lead to higher operation expenditures. Network operators therefore often use over-provisioning and traffic differentiation to offer cheaper Class of Service (CoS) quality in their internet protocol (IP) packet networks. The number of differentiated classes and their autonomous system (AS) internal implementation is at the operator’s choice. This paper proposes a signalling concept for inter-AS layer three Class Set signalling, supported classes, their encoding and packet rate limitations. It makes use of the Border Gateway Protocol (BGP) as the predominantly used routing protocol for AS peering communication. The paper specifies two new nontransitive attributes, which enable adjacent peers to signal Class of Service capabilities and admission control limitations. The new "CoS Capability Attribute" and the “CoS Parameter Attribute" are simple data structures, which signal the classes, their per hop behaviour (PHB) ID code and the token bucket control performed at the ingress AS border router for rate limitation purposes. The denoted Class of Service forwarding support is meant as the AS externally available (transit) Class of Service support. The approach is now work in progress at the IETF.

This document focuses on Class of Service Interconnection at inter- domain peering points. It specifies two new non-transitive attributes, which enable adjacent peers to signal Class of Service Capabilities and certain Class of Service admission control Parameters. The new "CoS Capability Attribute" is deliberately kept simple and denotes the general EF, AF Group and BE forwarding support across the advertising AS. The second "CoS Parameter Attribute" is of variable length and contains a more detailed description of available forwarding behaviours using the PHB id Code encoding. Each PHB id Code is associated with rate and size based traffic parameters, which will be applied in the ingress AS Border Router for admission control purposes to a given forwarding behaviour. The denoted Class of Service forwarding support is meant as the AS externally available (transit) Class of Service support.

With the advent of Internet of Things (IoT), an increasing number of devices start exchanging information. This puts emphasis on wireless sensor networks (WSNs) to facilitate the interaction with the environment in varied application scenarios such as, for example, building and home automation among others. In this context, a reliable communication is usually required, i.e., it is necessary to guarantee that packets arrive within a specified maximum delay or deadline. In addition, since nodes are usually battery-powered and deployed in large numbers, they must be cost-effective and economize on energy, which requires nodes to have a low complexity. In this context, unidirectional communication, i.e., where nodes either send or receive data, seems to be an interesting solution. Since no elaborate feedback mechanisms such as carrier sensing, acknowledgments and retransmissions schemes are possible, complexity, costs, energy consumption and communication overhead are reduced in a considerable manner. On the other hand, however, packet loss becomes more likely making such networks strongly unreliable. To overcome this predicament, two MAC (Medium Access Control) protocols are proposed, namely DEEP and RARE. These consist in nodes transmitting their data as sequences of redundant packets with carefully selected inter-packet separations leading to robust transmission patterns that enable reliable communication. In the case of DEEP, full (100%) reliability can be guaranteed, i.e., there is no data loss, which is particularly useful for safety critical applications. RARE, on the other hand, is designed for applications that tolerate some amount of data loss and can be configured to a reliability <100%, i.e., to a certain probability on successful data delivery. This allows improving other aspects of the network, such as energy consumption, communication delays, etc. In contrast to solutions from the literature, the proposed protocols do not pursue a best-effort approach, but rather provide an analytical framework to assess the performance (i.e., reliability, energy consumption, etc.) of the network. In addition, the proposed protocols are based on more general models that allow describing arbitrary node types with different deadlines and packet lengths leading to a provable higher performance. These and other benefits are illustrated by the means of extensive numerical experiments and simulations based on the OMNeT++ framework.

Beim Entwurf großer Netzwerke der Automation ermöglichen Methoden der Leistungsbewertung den Test und die Dimensionierung eines Netzwerkes bereits vor der Inbetriebnahme und erlauben damit einen effizienten, qualitätsorientierten Entwurf. Es ist jedoch sehr wissensintensiv und aufwendig, entsprechende Analyse- oder Simulations-Modelle aufzustellen und die Ergebnisse auszuwerten, weshalb die Methoden in der Praxis der Automation selten verwendet werden. Viel vertrauter sind dem Entwerfer hingegen die speziellen Software-Tools, mit denen in der Automation Netzwerke entworfen werden. Auf Basis der Datenbanken dieser Tools werden in dieser Arbeit verschieden Verfahren zur automatischen Systemmodellierung, Verkehrsmodellierung, Leistungsbewertung und Fehlerdiagnose zu einem Control Network Performance Engineering kombiniert, welches die Qualitätsbewertung und -beratung nahtlos und ohne Mehraufwand in den Netzwerkentwurf integriert. (Die Dissertation wurde veröffentlicht im Jörg Vogt Verlag, Voglerstr. 20, 01277 Dresden, Internet: http://www.vogtverlag.de/, email: info@vogtverlag.de, ISBN 978-3-938860-10-6) / During the design of large automation networks, performance analysis methods can be used for testing and dimensioning the network before implementation and are essential for an efficient and reliable design process. However, setting up the necessary analytical or simulative models is time-consuming, requires in-depth knowledge, and is therefore often not applicable in practice. The network designers are much more used to the design tools used to develop automation networks. Based on these tools' databases various methods for automated system and traffic modeling, performance analysis and diagnoses are combined in the control network performance engineering that seamlessly integrates quality analysis and consulting into network design without requiring additional effort. (This manuscript is also available - in the form of a book - from Jörg Vogt Verlag, Voglerstr. 20, 01277 Dresden, Germany world-wide web address: http://www.vogtverlag.de/, electronic-mail address: info@vogtverlag.de, ISBN 978-3-938860-10-6 )

We report on our experiences from two user studies (lab experiments) with nearly 300 participants for QoE evaluation using real mobile services and devices in our WiFi network emulation testbed. We briefly introduce our principles for integrating real services in these studies: how we selected relevant services, how we investigated their testability and how we tested them with high efficiency.

We report on our experiences from two user studies (lab experiments) with nearly 300 participants for QoE evaluation using real mobile services and devices in our WiFi network emulation testbed. We briefly introduce our principles for integrating real services in these studies: how we selected relevant services, how we investigated their testability and how we tested them with high efficiency.

Beim Entwurf großer Netzwerke der Automation ermöglichen Methoden der Leistungsbewertung den Test und die Dimensionierung eines Netzwerkes bereits vor der Inbetriebnahme und erlauben damit einen effizienten, qualitätsorientierten Entwurf. Es ist jedoch sehr wissensintensiv und aufwendig, entsprechende Analyse- oder Simulations-Modelle aufzustellen und die Ergebnisse auszuwerten, weshalb die Methoden in der Praxis der Automation selten verwendet werden. Viel vertrauter sind dem Entwerfer hingegen die speziellen Software-Tools, mit denen in der Automation Netzwerke entworfen werden. Auf Basis der Datenbanken dieser Tools werden in dieser Arbeit verschieden Verfahren zur automatischen Systemmodellierung, Verkehrsmodellierung, Leistungsbewertung und Fehlerdiagnose zu einem Control Network Performance Engineering kombiniert, welches die Qualitätsbewertung und -beratung nahtlos und ohne Mehraufwand in den Netzwerkentwurf integriert. (Die Dissertation wurde veröffentlicht im Jörg Vogt Verlag, Voglerstr. 20, 01277 Dresden, Internet: http://www.vogtverlag.de/, email: info@vogtverlag.de, ISBN 978-3-938860-10-6) / During the design of large automation networks, performance analysis methods can be used for testing and dimensioning the network before implementation and are essential for an efficient and reliable design process. However, setting up the necessary analytical or simulative models is time-consuming, requires in-depth knowledge, and is therefore often not applicable in practice. The network designers are much more used to the design tools used to develop automation networks. Based on these tools' databases various methods for automated system and traffic modeling, performance analysis and diagnoses are combined in the control network performance engineering that seamlessly integrates quality analysis and consulting into network design without requiring additional effort. (This manuscript is also available - in the form of a book - from Jörg Vogt Verlag, Voglerstr. 20, 01277 Dresden, Germany world-wide web address: http://www.vogtverlag.de/, electronic-mail address: info@vogtverlag.de, ISBN 978-3-938860-10-6 )