Institute of Information Systems (IIS, SRH Berlin)
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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.
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.
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.
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.
We present MagicMap, a cooperative, hybrid positioning system developed at the Humboldt-University in Berlin. While most other positioning systems are limited to specific scenarios and technologies our system provides means to incorporate any available wireless networking technology. Currently, MagicMap supports WLAN, RFID, and ZigBee as wireless technologies for positioning and Linux, Windows, and Windows CE as platforms. Position calculation and exchange is based on a cooperative approach allowing an open internet community to share the required data.
Cloud-Computing, insbesondere „Software as a Service (SaaS)“ und „Platform as a Service (PaaS)“ ist zugleich Herausforderung und Chance für IT-Anwender. Marktplatz-Ansätze aus der Welt der mobilen Applikationen (App Stores) können eine Grundlage für die Vermarktung von Software-Diensten darstellen. Ihre Konzepte lassen sich jedoch nur durch eine erweiterte Betrachtung von funktionalen und nicht-funktionalen Aspekten der webbasierten Dienste in die Welt des Cloud Computing übertragen.
Application Stores und Marktplätze für webbasierte Dienste (z.B. Asperado, Cloud-Portal, Software-Marktplatz) helfen bei Identifizierung und Bewertung der Angebote und bei der Kommunikation mit potentiellen Kunden.
Many companies use business process modeling to support various improvements initiatives leading to an increasing number of process models. Typically, these models are stored in a collection containing several hundreds of process models. In many cases, process models are overlapping, although parts could be easily reused saving costs and efforts. Different labeling styles and evolving process models complicate the detec- tion of reusable model parts. In this paper, we propose a novel approach for the detection of equivalent and similar process model parts that ex- ploits semantic comparison of activity labels and behavioral comparison of control flow. We evaluate our approach on the SAP Reference Model, a collection with 604 process models. The evaluation reveals insights for the thresholds of semantic and behavioral similarity of process models as well as their influence for similar process part detection. Hence, we identify five candidate groups with specific similarity properties that contain reoccurring process parts.