Context Prediction Based on Branch Prediction Methods
- Ubiquitous systems use context information to adapt appliance behavior to human needs. Even more convenience is reached if the appliance foresees the user’s desires and acts proactively. This paper focuses on context prediction based on previous behavior patterns. The proposed prediction algorithms originate in branch prediction techniques of current high-performance microprocessors which are transformed to handle context prediction. We propose and evaluate the onelevel one-state, two-state, and multiple-state predictors, and the two-level two-state predictors with local and global first-level histories. Evaluation is performed by simulating the predictors with behavior patterns of people walking through a building as workload. The evaluations show that the proposed context predictors perform well but exhibit differences in training and retraining speed and in their ability to learn complex patterns.
| Author: | Jan PetzoldGND, Faruk BagciORCiDGND, Wolfgang Trumler, Theo UngererORCiDGND |
|---|---|
| URN: | urn:nbn:de:bvb:384-opus4-1009 |
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/147 |
| Series (Serial Number): | Reports / Technische Berichte der Fakultät für Angewandte Informatik der Universität Augsburg (2003-14) |
| Type: | Report |
| Language: | English |
| Year of first Publication: | 2003 |
| Publishing Institution: | Universität Augsburg |
| Release Date: | 2006/06/01 |
| Tag: | Kontextvorhersage; Kontextbewußtsein; Proaktiv context; context awareness; context prediction; location prediction; proactive |
| GND-Keyword: | Kontext; Ubiquitous Computing |
| Institutes: | Fakultät für Angewandte Informatik |
| Fakultät für Angewandte Informatik / Institut für Informatik | |
| Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
