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Fuzzy Uncertainty Models and Algorithms: for Real Time Task Scheduling P. K. Muhuri
Fuzzy Uncertainty Models and Algorithms: for Real Time Task Scheduling
P. K. Muhuri
In the early phase of real-time system design only an approximate idea of the tasks and their characteristics are known. Therefore, uncertainty or impreciseness is associated with the task deadlines and processing times. It is therefore appropriate to use fuzzy numbers to model task deadlines and processing times. The book fulfills this requirement by developing several models and algorithms for fuzzy real-time scheduling using different membership function choices. It also gives task priority algorithms using a new distance measure based fuzzy criteria and considers energy efficient real-time scheduling problem with fuzzy timing constraints for the first time. This book should be of great interest to postgraduate and research students of Computer Engineering, Electronics/ Communication Engineering as well as practicing engineers using fuzzy models for designing energy efficient embedded real time systems.
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2011年3月8日 |
| ISBN13 | 9783844316476 |
| 出版社 | LAP LAMBERT Academic Publishing |
| ページ数 | 180 |
| 寸法 | 226 × 10 × 150 mm · 286 g |
| 言語 | ドイツ語 |