完整後設資料紀錄
DC 欄位語言
dc.contributor.authorLin, Ying-Daren_US
dc.contributor.authorHwang, Ren-Hungen_US
dc.contributor.authorLu, Chun-Nanen_US
dc.contributor.authorHung, Jui-Tsunen_US
dc.date.accessioned2018-08-21T05:53:57Z-
dc.date.available2018-08-21T05:53:57Z-
dc.date.issued2017-03-01en_US
dc.identifier.issn1607-9264en_US
dc.identifier.urihttp://dx.doi.org/10.6138/JIT.2017.18.2.20130924en_US
dc.identifier.urihttp://hdl.handle.net/11536/145391-
dc.description.abstractReplaying artificial or real-world traffic is a method used to test networking devices. Using real-world traffic is desirable as it uncovers more realistic properties such as traffic diversity and complicated user behaviors. In this paper, we propose an in-lab replay testing (ILRT) framework, composed of a monitor, a traffic replayer and a library of real-world traffic traces, to replay captured packet traces to test networking devices. To demonstrate its effectiveness, a total of 28 WLAN routers were tested to evaluate whether they could work stably for an extended time. In our experiments, 53.57% and 100% of devices under test (DUTs) were triggered critical (L1) failures and tolerable (L2) failures, respectively. 21.43% and 100% of DUTs were triggered more than one L 1 and L2 failures, respectively. Among high-spec DUTs, there was 25% of DUTs which were triggered L1 failures. Furthermore, among 458 test results, chance of pass, L1 failure, and L2 failure is 2.84%, 7.86%, and 89.3%, respectively. The results showed that even though these devices have passed traditional lab tests, there is still a good chance for them to fail under real-world traffic.en_US
dc.language.isoen_USen_US
dc.subjectTraffic captureen_US
dc.subjectTraffic replayen_US
dc.subjectStability testingen_US
dc.titleIn-Lab Replay Testing under Real Traffic with a Case Study on WLAN Routersen_US
dc.typeArticleen_US
dc.identifier.doi10.6138/JIT.2017.18.2.20130924en_US
dc.identifier.journalJOURNAL OF INTERNET TECHNOLOGYen_US
dc.citation.volume18en_US
dc.citation.spage271en_US
dc.citation.epage278en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000399522700006en_US
顯示於類別:期刊論文