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Institute
Cloud computing, especially Software-as-a-Service (SaaS), changes the IT processes of companies for application deployment, access, usage, maintenance, governance and management. In an age of Bring-Your-Own-Device, small businesses through to globally operating companies increasingly support their employees and customers with SaaS-applications that allow access to internal and external business information. Whether employees are in the office, at a client facility, at home or on the road, they need fast, easy access to business applications with any type of device.
SaaS offers companies an interesting alternative to classical on-premise IT solutions. Cloud computing provides innovative applications, high connectivity and performance, cost reduction, flexibility and fast time to market with a minimum of effort. Cloud computing is a special form of outsourcing that has its roots in the fifties. Ten years ago similar concepts to cloud computing e.g. Application Service Providing (ASP) appeared and failed. But it seems that the willingness to use cloud computing is now much higher and the cost pressure effects of the financial crisis also motivate decision makers in companies to focus on cloud computing.
This contribution presents the results of actual scientific literature investigations alongside interviews with owners of Software-as-a-Service Marketplaces. It describes several types of SaaS marketplaces using different business models to bring together customers and providers. It shows that SaaS marketplaces are two-sided and demonstrates how platforms are emerging that bundle features into significant value propositions for both sides.
This work is relevant to firms who seek business solution recommendations beyond the focus of their on-premise-focussed advisors. It is also relevant for owners and potential owners of SaaS marketplaces and SaaS providers exploring alternatives in their distribution mix.
The emergence of the Internet of Services and the Internet of Devices opens new possibilities for societal computung scenarios. Ambient Intelligence (AmI) is a vision of an environment that puts the needs of the user in the center of the technological design process. An AmI environment consists of ubiquitous distributed devices such as sensors, displays, data memories which are embedded in everyday objects like walls, clothes, tables or the pavement. These devices are interconnected and seamlessly deliver applications and services to the user. AmI emphasizes the intelligence of the environments interfaces and the intelligence that can be achieved by correlating context information from different data sources. In this work we present an approach to transfer the AmI vision to the public services sector using the paradigm of service orientation and Cloud Computing. Based on scenarios in the healthcare sector the benefits and challenges of such transfer are presented.
CERO: CE RObots Community
(2005)
We describe our experience creating a robots community using standard hardware and software - the Windows CE operating system, XScale development boards, and LEGO Mindstorm actuators. We focus on an open and extendable distributed robotics system, which in contrast to most existing proprietary robotics systems, supports cost-effective integration and assembly of components while providing dependable communication and coordination. To demonstrate feasibility we have developed the CERO Framework for ad hoc cooperation in robots communities employing a service-oriented architecture with the main building blocks: ad hoc networking for different wireless technologies (e.g., Bluetooth, WLAN, or 433 MHz radio communication), a protocol for interconnecting development board and actuators, and a CE.NET based software framework supporting complex movements, consensus protocols, cooperation, and positioning. It offers high-level interfaces for programming complex tasks in cooperative robotics. We also present an overview of intended applications.
Composability is a sought after property. However, whereas there is usually an intuitive understanding of this concept, a clear definition has been frequently missing.
In this paper, we refine our concept of composability given in. We see composability as a property of an architecture not of systems. In addition, we do not want to reduce composability to the functional specification; rather, we are focusing on how composability effects the nonfunctional properties, especially the composed system's real-time behavior, its reliability, its security, etc. We see the advantage of our approach in having a wide application domain. It works for functional and non-functional properties, it may consider both, hardware and software, and it allows for a description of composition anomalies.
In this paper, we show how to apply our concept to an embedded hardware-software co-designed architecture and to composition and decomposition of dependable services in embedded environments.
In this report we present an architectural approach to add quality-of-service (QoS) assurance and location awareness to service-based systems within existing clinical infrastructures. To address typical design requirements of such systems (e.g., cooperating services, performance and availability) the work proposes a service-oriented architecture (SOA) as architectural concept and architectural translucency to provide stable QoS. We evaluate position sensing systems, QoS assurance approaches and present design principles for service-based health care applications. Furthermore, we present a clinical application scenario and an architectural approach to integrate existing infrastructure into a human centric assistance system.
Bei der Datenerhebung und -verarbeitung durch AAL-Infrastruktur im Pflegesektor sind rechtliche Rahmenbedingungen zu prüfen, die die Nutzung der Messdaten juristisch zulässig machen. Hierzu wurden die in der praxisnahen Pflegeliteratur dargestellten Rechtsnormen zusammengefasst und kategorisiert. Somit ließ sich ermitteln, welche Daten als schützenswert zu definieren und mit welchen Sicherungsmaßnahmen zu versehen sind. Auf dieser Basis kann ein Ansatz präsentiert werden, der eine rechtlich unbedenkliche Absicherung aller technischen Elemente bei der Implementierung einer AAL-Infrastruktur in der Pflege ermöglicht.
Berlin ist eine der großen europäischen Hauptstädte mit einem breiten Angebot an öffentlichen Dienstleistungen (Public Services). 2003 hat der Berliner Senat den „Landesbetrieb für Gebäudebewirtschaftung" (LfG) gegründet, der die Facility Management Aktivitäten des Landes bündelt. Seit 2005 wird zusammen mit der TU Berlin der Einsatz innovativer Informations-technologien (IT) in diesem Bereich konsequent erweitert. Die Kombination aus einer unauffälligen (unobtrusiven) IT-Infrastruktur und einer flächendeckenden und kontextbezogenen Einsetzbarkeit wird oft als ambient bezeichnet und stellt sehr spezifische Anforderungen an die Gestaltung der Mensch-Maschine-Interaktionen. In diesem Beitrag wird die Gestaltung eines Systems für die Ver- und Entsorgung als Teil der Facility Management Aufgaben beschrieben. Ausgehend von der Beschreibung unseres Vorgehensmodells zur Erhebung der Ist-Prozesse und Usability Evaluation, werden in einem zweiten Schritt Nutzerprofile erstellt und die Ist-Prozesse um diese erweitert. Die zweite Hälfte des Beitrags beschreibt das eingeführte, ambiente Ver- und Entsorgungssystem, zusammen mit einigen Interaktionsszenarien. Abschließend erfolgt eine Evaluierung der Wirtschaftlichkeit und der Usability des Systems.
Service-oriented architecture (SOA) in the enterprise was one of the key enablers for cloud computing. Therefore, it can serve as a natural fit for bringing traditional IT governance approaches forward to the challenges of cloud governance. In this work we present an approach for mapping IT governance mindsets to the aspects of SOA governance. It allows an IT organisation the adaptation and the continuous usage of already established governance models during the adoption of cloud computing solutions. We also present an application case study where we demonstrate the feasibility of the approach in real-life scenarios in the context of an international telecommunication provider.
IT departments within enterprises often utilize incident management and ticketing systems. While performance data from such systems is often stored in logfiles it is rarely evaluated extensively. In this work we assess the applicability of an approach for extended evaluation of logged data from such systems. Our evaluation is focused on Key Performance Indicators (KPIs) and aims to discover more in-depth insights as compared to typical data visualization and dashboard techniques.
We also present a practical case study where we demonstrate the feasibility of the approach using real-life logfiles from an international telecommunication provider. Our modeling methodology is based on the approach of System Dynamics.
When optimizing IT operations organizations typically aim to optimize resource usage. In general, there are two kinds of IT resources - IT infrastructures and IT staff. An optimized utilization of these resources requires both quantitative and qualitative analysis. While IT infrastructures can offer raw data for such analyses, data about IT staff often requires additional preparation and augmentation. One source for IT staff-related data can be provided by incident management and ticketing systems. While performance data from such systems is often stored in logfiles it is rarely evaluated extensively. In this article we propose the usage of such data sources for IT staff behavior evaluation and also present the relevant augmentation techniques. We claim that our approach is able to provide more in-depth insights as compared to typical data visualization and dashboard techniques. Our modeling methodology is based on the approach of system dynamics. We also provide formal models and simulation results where we demonstrate the feasibility of the approach using real-life logfiles from an international telecommunication provider.