完整後設資料紀錄
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dc.contributor.authorLin, Ying-Daren_US
dc.date.accessioned2015-07-21T08:31:04Z-
dc.date.available2015-07-21T08:31:04Z-
dc.date.issued2013-01-01en_US
dc.identifier.isbn978-1-4799-2795-1en_US
dc.identifier.issnen_US
dc.identifier.urihttp://dx.doi.org/10.1109/CANDAR.2013.7en_US
dc.identifier.urihttp://hdl.handle.net/11536/124942-
dc.description.abstractMost researchers look for topics from the literature. But my research has been driven mostly by development which in turn has been driven by industrial projects or lab works. We spanned into the areas of cable TV networks, multi-hop cellular, Internet QoS, deep packet inspection, traffic forensics, embedded benchmarking, and LTE. Among them, our multi-hop cellular work was the first along this line and has a high impact on both academia and industry, with over 600 citations and standardizations in WLAN mesh (IEEE 802.11s), WiMAX (IEEE 802.16j), Bluetooth (IEEE 802.15.5), and 3GPP LTE-advanced. Side products from our research include a startup (L7 Networks Inc., in 2002), a test lab (Network Benchmarking Lab, NBL, since 2002), and a textbook "Computer Networks: An Open Source Approach" (McGraw-Hill, 2011). It is a perfect time to report my 20-year research as we celebrate the 70th birthday of my Ph.D. thesis advisor, Prof. Mario Gerla. Inspired by his persistent and profound impacts, I think this is merely a half-time report and look forward to another 20 years of research.en_US
dc.language.isoen_USen_US
dc.subjectmulti-hop cellularen_US
dc.subjectQoSen_US
dc.subjectdeep packet inspectionen_US
dc.subjecttraffic forensicsen_US
dc.subjectembedded benchmarkingen_US
dc.subjectLTEen_US
dc.titleResearch Roadmap Driven by Network Benchmarking Lab (NBL): Deep Packet Inspection, Traffic Forensics, Embedded Benchmarking, 4G LTE, and Beyonden_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/CANDAR.2013.7en_US
dc.identifier.journal2013 FIRST INTERNATIONAL SYMPOSIUM ON COMPUTING AND NETWORKING (CANDAR)en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000346365400001en_US
dc.citation.woscount0en_US
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