@inproceedings{StantchevTamm2010, author = {Stantchev, Vladimir and Tamm, Gerrit}, title = {Towards Ambient Intelligence and the Internet of Services in Healthcare}, url = {http://nbn-resolving.de/urn:nbn:de:0298-opus4-727}, pages = {6}, year = {2010}, abstract = {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.}, language = {en} } @inproceedings{Stantchev2008, author = {Stantchev, Vladimir}, title = {Service-based Systems in Clinical Environments}, series = {Information Service Design Symposium 2008}, booktitle = {Information Service Design Symposium 2008}, url = {http://nbn-resolving.de/urn:nbn:de:0298-opus4-759}, pages = {19}, year = {2008}, abstract = {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.}, language = {en} }