From Algorithmic Computing to Autonomic Computing

In algorithmic computing, the program follows a predefined set of rules – the algorithm. The analyst/designer of the program analyzes the intended tasks of the program, defines the rules for its expected behaviour and programs the implementation. The creators of algorithmic software must therefore foresee, identify and implement all possible cases for its behaviour in the future application! However, what if the problem is not fully defined? Or the environment is uncertain? What if situations are too complex to be predicted? Or the environment is changing dynamically? In many such cases algorithmic computing fails. In such situations, the software needs an additional degree of freedom: Autonomy! Autonomy allows software to adapt to partially defined problems, to uncertain or dynamically changing environments and to situations that are too complex to be predicted. As more and more applications – such as autonomous cars and planes, adaptive power grid management, survivable networks, and many more – fall into this category, a gradual switch from algorithmic computing to autonomic computing takes place. Autonomic computing has become an important software engineering discipline with a rich literature, an active research community, and a growing number of applications.:Introduction 5 1 A Process Data Based Autonomic Optimization of Energy Efficiency in Manufacturing Processes, Daniel Höschele 9 2 Eine autonome Optimierung der Stabilität von Produktionsprozessen auf Basis von Prozessdaten, Richard Horn 25 3 Assuring Safety in Autonomous Systems, Christian Rose 41 4 MAPE-K in der Praxis - Grundlage für eine mögliche automatische Ressourcenzuweisung, in der Cloud Michael Schneider 5

Dagstuhl-Workshop MBEES:

modellbasierte automobile Steuergeräteentwicklun

Jahresbericht Forschung und Entwicklung 2007

Forschungsjahresbericht 2007 der Hochschule Konstanz Technik, Wirtschaft und Gestaltun

Service composition based on SIP peer-to-peer networks

Today the telecommunication market is faced with the situation that customers are requesting for new telecommunication services, especially value added services. The concept of Next Generation Networks (NGN) seems to be a solution for this, so this concept finds its way into the telecommunication area. These customer expectations have emerged in the context of NGN and the associated migration of the telecommunication networks from traditional circuit-switched towards packet-switched networks. One fundamental aspect of the NGN concept is to outsource the intelligence of services from the switching plane onto separated Service Delivery Platforms using SIP (Session Initiation Protocol) to provide the required signalling functionality. Caused by this migration process towards NGN SIP has appeared as the major signalling protocol for IP (Internet Protocol) based NGN. This will lead in contrast to ISDN (Integrated Services Digital Network) and IN (Intelligent Network) to significantly lower dependences among the network and services and enables to implement new services much easier and faster. In addition, further concepts from the IT (Information Technology) namely SOA (Service-Oriented Architecture) have largely influenced the telecommunication sector forced by amalgamation of IT and telecommunications. The benefit of applying SOA in telecommunication services is the acceleration of service creation and delivery. Main features of the SOA are that services are reusable, discoverable combinable and independently accessible from any location. Integration of those features offers a broader flexibility and efficiency for varying demands on services. This thesis proposes a novel framework for service provisioning and composition in SIP-based peer-to-peer networks applying the principles of SOA. One key contribution of the framework is the approach to enable the provisioning and composition of services which is performed by applying SIP. Based on this, the framework provides a flexible and fast way to request the creation for composite services. Furthermore the framework enables to request and combine multimodal value-added services, which means that they are no longer limited regarding media types such as audio, video and text. The proposed framework has been validated by a prototype implementation

Forschungsbericht : Forschung und Entwicklung 2019

Präsentiert werden ausgewählte Forschungsprojekte und Forscher/-innen sowie die Forschungsprofile der vier Fachbereiche und der Zentren/Institute

The new mobility paradigm: transformation of value chain and business models

We would like to thank Philipp Schwarz and Julia Gückel for their dedicated support in preparing this paper and our colleagues and students of the School of Engineering and the Business School for our fruitful discussions.Four categories of innovations have been identified by Freeman and Perez: incremental innovations, radical innovations, new technological systems (systemic innovations), and technological revolutions or new techno-economic paradigms. New techno-economic paradigms represent changes in technological systems that are so far-reaching in their effects that they have a major influence on the behaviour of the entire economy. Scarcity of oil and external costs like global warming are the key arguments and the main drivers of the change of the current paradigm. They will affect especially the mobility of individuals and the interlinked business models. Novel business models within newly created markets will raise e.g. extended mobility services, activities aiming at the infrastructure, new opportunities in the field of energy transmission and supply and even new strategies of recycling, reusing or reducing the use of resources in order to address global scarcity issues. Especially for the established players of the automotive industry like original equipment manufacturers (OEMs) or 1st and 2nd tier suppliers this implicates opportunities and risks at the same time. But also new players will get the chance to create and enter new markets with new or extended products or services and lead the new value chain. This paper compiles and evaluates current approaches and business models of selected OEMs together with upcoming players. Additionally their positions within the existing value chain are being analyzed and classified. Bringing together the identified drivers of changes with current trends within the automotive industry the authors also show new concepts of extended business models, e.g. the idea of an ecosystem, that have the potential to cause an additional shift of power within the global mobility value chain

Forum - Ausgabe 2007/2008

Informiert über die Forschungsaktivitäten an der Hochschule Konstanz im Jahr 2007/2008