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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ribeiro-Justo, G.R. Karran, T. |
| Copyright Year | 2001 |
| Description | Author affiliation: Cap Gemini Ernst & Young, UK (Ribeiro-Justo, G.R.) |
| Abstract | Next generation mobile networks have great potential in providing personalised and efficient quality of service by using re-configurable platforms. The foundation is the concept of software radio where both the mobile terminal and the serving network can be re-configurable. This approach becomes more effective when combined with historic-based prediction strategies that enable the system to learn about application behaviour and predict its resource consumption. We extend that concept by proposing the use of an object-oriented intelligent decision making architecture, which supports general and large-scale applications. The proposed architecture applies the principles of business intelligence and data warehousing, together with the concept of organic viable systems. The architecture is applied to the CAST (configurable radio with advanced software technology) platform. |
| Starting Page | 31 |
| Ending Page | 40 |
| File Size | 961123 |
| Page Count | 10 |
| File Format | |
| ISBN | 076951300X |
| DOI | 10.1109/DOA.2001.954069 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-09-17 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Bismuth Computer architecture Application software Decision making Warehousing Information systems Intelligent agent Quality of service Availability Intelligent systems |
| Content Type | Text |
| Resource Type | Article |
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