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Reducing congestion in Heavy-Tailed queues - by Ghina Mohamad Omar Taki Eddine Karame
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| dc.contributor.author | Karame, Ghina Mohamad Omar Taki Eddine |
| dc.date.accessioned | 2012-06-13T07:14:28Z |
| dc.date.available | 2012-06-13T07:14:28Z |
| dc.date.issued | 2008 |
| dc.identifier.uri | http://hdl.handle.net/10938/7848 |
| dc.description | Thesis (M.E.M.)--American University of Beirut, Engineering Management Program, 2008.;"Advisor : Dr. Bacel Maddah, Assistant Professor, Engineering Management Program--Member of Committee : Dr. Lama Moussawi, Assistant Professor , Business Information and |
| dc.description | Bibliography : leaves 86-88. |
| dc.description.abstract | Many computer and manufacturing systems experience serious congestion problems b ecause processing times follow heavy-tailed distributions characterized by high variability. This thesis is concerned with improving the performance of such sys tems through |
| dc.format.extent | xiv, 88 leaves : ill. 30 cm. |
| dc.language.iso | eng |
| dc.relation.ispartof | Theses, Dissertations, and Projects |
| dc.subject.classification | ET:005059 AUBNO |
| dc.subject.lcsh | Mathematical optimization |
| dc.subject.lcsh | Queuing theory |
| dc.title | Reducing congestion in Heavy-Tailed queues - by Ghina Mohamad Omar Taki Eddine Karame |
| dc.type | Thesis |
| dc.contributor.department | American University of Beirut. Faculty of Engineering and Architecture. Engineering Management Program |
