Name
Abstract | ||
|---|---|---|
New sensor technologies, powerful mobile devices,and wireless communication standards strongly proliferateubiquitous and pervasive computing. This is particularlytrue for healthcare applications. Modern non-invasiveunobtrusive sensors enable sophisticated monitoring ofthe human body. As a result of this monitoring a growingamount of elderly people suffering from chronic diseaseswill benefit from an enhanced quality of life and improvedtreatment. Healthcare applications process a vastamount of continuously generated data, this has becomea serious challenge. Data stream managementaddresses this problem in general. However, healthcare applicationshave additional requirements, e.g., flexibilityand reliability. As a consequence, we propose the combinationof a sophisticated information infrastructure,called hyperdatabase, and data stream management. Hyperdatabasesalready allow for reliable process managementin a peer-to-peer fashion. In this paper, we elaboratethe close relation between distributed process managementand data stream management. Further, we show thatdata stream processing can significantly benefit from an infrastructurefor reliable process management. We presentthe architecture of our prototype infrastructure that supportsprocessing of continuous data streams with a highdegree of flexibility and reliability. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ICWS.2004.62 | ICWS |
Keywords | Field | DocType |
chronic diseaseswill benefit,data stream management,continuous data stream,thatdata stream processing,process managementand data stream,flexibilityand reliability,infrastructurefor reliable process management,peer-to-peer data stream processing,healthcare application,reliable process managementin,data stream,distributed databases,mobile computing,quality of life,distributed processing,health care,ubiquitous computing,mobile devices,human body,patient monitoring,mobile device,wireless communication,process management,information infrastructure,pervasive computing | Mobile computing,Data stream mining,Peer-to-peer,Computer science,Data stream,Mobile device,Distributed database,Ubiquitous computing,Information infrastructure,Database | Conference |
ISBN | Citations | PageRank |
0-7695-2167-3 | 11 | 0.73 |
References | Authors | |
12 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gert Brettlecker | 1 | 60 | 7.57 |
| Heiko Schuldt | 2 | 803 | 106.01 |
| Raimund Schatz | 3 | 975 | 67.12 |