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dc.contributor.authorKang, Lanlanen_US
dc.contributor.authorChen, Ruey-Shunen_US
dc.contributor.authorChen, Yeh-Chengen_US
dc.contributor.authorWang, Chung-Cheien_US
dc.contributor.authorLi, Xingguanen_US
dc.contributor.authorWu, Tsu-Yangen_US
dc.date.accessioned2019-12-13T01:10:00Z-
dc.date.available2019-12-13T01:10:00Z-
dc.date.issued2019-01-01en_US
dc.identifier.issn2169-3536en_US
dc.identifier.urihttp://dx.doi.org/10.1109/ACCESS.2019.2938044en_US
dc.identifier.urihttp://hdl.handle.net/11536/153070-
dc.description.abstractThe overwhelming increase of population will lead to an increase network traffic usage. In most products, local cache mechanism is implemented for the purpose of reducing the network traffics. However, Due to storage space limitations, lot of times, cache will get purged when there are lots of queries sent and replaced by other newest queries. It is not an efficient by using traditional methodology to build or forming cache. In order to reduce the network traffic usage, the paper propose a solution, which utilizes data mining technique with clustering concept, by gathering the current feedback data that have from our SPN (Smart Protection Network). we are able to form these data in groups with similarity, and by deploying these data to client side, to achieve the reduction of traffic usage. In prototype, this design can really reduce network traffic more than 8%.en_US
dc.language.isoen_USen_US
dc.subjectCloud computingen_US
dc.subjectcache optimizationen_US
dc.subjectnetwork trafficen_US
dc.subjectdata miningen_US
dc.titleUsing Cache Optimization Method to Reduce Network Traffic in Communication Systems Based on Cloud Computingen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ACCESS.2019.2938044en_US
dc.identifier.journalIEEE ACCESSen_US
dc.citation.volume7en_US
dc.citation.spage124397en_US
dc.citation.epage124409en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000487829500009en_US
dc.citation.woscount0en_US
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