Name
Abstract | ||
|---|---|---|
In telemedicine, patient data have to be shared among mobile and geographically dispersed caregivers. The execution environment of telemedicine applications is characterized by hardware and software heterogeneity and can suffer from important variations in resource availability. The data replication can be used to provide significant benefits in terms of data availability and query latency. Moreover, the replication system has to be adaptable to changes of context for a high quality of service. We establish two architectural models, one for distributed replication systems and the other for distributed adaptation systems. We are currently implementing them as two frameworks that can be customized to build an adaptive replication system for a telemedicine application. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-02868-7_47 | ICOST |
Keywords | Field | DocType |
data replication,replication system,data availability,resource availability,telemedicine applications,dynamic self-adaptation,data management,architectural model,adaptation system,telemedicine application,execution environment,patient data,adaptive replication system,quality of service,software architecture,adaptive system | Telemedicine,Replication (computing),Latency (engineering),Computer science,Computer network,Quality of service,Software,Self adaptation,Software architecture,Data management,Distributed computing | Conference |
Volume | ISSN | Citations |
5597 | 0302-9743 | 1 |
PageRank | References | Authors |
0.38 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Françoise André | 1 | 100 | 17.58 |
| Maria-Teresa Segarra | 2 | 56 | 11.00 |
| Mohamed Zouari | 3 | 8 | 2.42 |