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dc.contributor.authorLin, Ying-Daren_US
dc.contributor.authorLiu, Te-Lungen_US
dc.contributor.authorWang, Shun-Hsienen_US
dc.contributor.authorLai, Yuan-Chengen_US
dc.date.accessioned2019-08-02T02:15:25Z-
dc.date.available2019-08-02T02:15:25Z-
dc.date.issued1970-01-01en_US
dc.identifier.issn1074-5351en_US
dc.identifier.urihttp://dx.doi.org/10.1002/dac.4065en_US
dc.identifier.urihttp://hdl.handle.net/11536/152153-
dc.description.abstractWith the growth of network traffic volume, link congestion cannot be avoided efficiently with conventional routing protocols. By utilizing the single shortest-path routing algorithm from link state advertisement information, standard routing protocols lack of global awareness and are difficult to be modified in a traditional network environment. Recently, software-defined network (SDN) provided innovative architecture for researchers to program their own network protocols. With SDN, we can divert heavy traffic to multiple paths in order to resolve link congestion. Furthermore, certain network traffics come in periodic fashion such as peak hours at working days so that we can leverage forecasting for resource management to improve its performance. In this paper, we propose a proactive multipath routing with a predictive mechanism (PMRP) to achieve high-performance congestion resolution. PMRP has two main concepts: (a) a proactive mechanism where PMRP deploys M/M/1 queue and traffic statistics to simulate weighted delay for possible combinations of multipaths placement of all subnet pairs, and leverage genetic algorithm for accelerating selection of optimized solution, and (b) a predictive mechanism whereby PMRP uses exponential smoothing for demand traffic volumes and variance predictions. Experimental results show a 49% reduction in average delay as compared with single shortest routing, and a 16% reduction in average delay compared with utilization & topology-aware multipath routing (UTAMP). With the predictive mechanism, PMRP can decrease an additional 20% average delay. Furthermore, PMRP reduces 93% of flow table usage on average as compared with UTAMP.en_US
dc.language.isoen_USen_US
dc.subjectcongestion resolutionen_US
dc.subjectflow table usageen_US
dc.subjectmultipath routingen_US
dc.subjectSDNen_US
dc.titleProactive multipath routing with a predictive mechanism in software-defined networksen_US
dc.typeArticleen_US
dc.identifier.doi10.1002/dac.4065en_US
dc.identifier.journalINTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMSen_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000475048800001en_US
dc.citation.woscount0en_US
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