Askar, Shavan K A and Zervas, Georgios S and Hunter, David K and Simeonidou, Dimitra (2011) Adaptive classified cloning and aggregation technique for delay and loss sensitive applications in OBS networks. In: Optical Fiber Communication Conference and Exposition (OFC/NFOEC), 2011 and the National Fiber Optic Engineers Conference. Institute of Electrical and Electronics Engineers (IEEE). ISBN 9781457702136
Askar, Shavan K A and Zervas, Georgios S and Hunter, David K and Simeonidou, Dimitra (2011) Adaptive classified cloning and aggregation technique for delay and loss sensitive applications in OBS networks. In: Optical Fiber Communication Conference and Exposition (OFC/NFOEC), 2011 and the National Fiber Optic Engineers Conference. Institute of Electrical and Electronics Engineers (IEEE). ISBN 9781457702136
Askar, Shavan K A and Zervas, Georgios S and Hunter, David K and Simeonidou, Dimitra (2011) Adaptive classified cloning and aggregation technique for delay and loss sensitive applications in OBS networks. In: Optical Fiber Communication Conference and Exposition (OFC/NFOEC), 2011 and the National Fiber Optic Engineers Conference. Institute of Electrical and Electronics Engineers (IEEE). ISBN 9781457702136
Abstract
An adaptive classified cloning and aggregation technique is introduced for deployment with Optical Burst Switching. Simulations show up to 74% reduction in loss rate over conventional cloning for applications with specific delay and loss requirements.
| Item Type: | Book Section |
|---|---|
| Additional Information: | Proceedings of the 2011 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference (OFC/NFOEC 2011) |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| Depositing User: | Jim Jamieson |
| Date Deposited: | 30 Aug 2012 10:27 |
| Last Modified: | 30 Aug 2012 10:27 |
| URI: | http://repository.essex.ac.uk/id/eprint/3787 |