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dc.contributor.authorChen, Ruey-Shunen_US
dc.contributor.authorChen, Yeh-Chengen_US
dc.contributor.authorHu, Yu-Xien_US
dc.contributor.authorHorng, Shi-Jinnen_US
dc.contributor.authorFan, Xiaopengen_US
dc.contributor.authorWang, T-Cen_US
dc.contributor.authorXiong, Naixueen_US
dc.date.accessioned2019-08-02T02:24:19Z-
dc.date.available2019-08-02T02:24:19Z-
dc.date.issued2018-01-01en_US
dc.identifier.isbn978-1-5386-9403-9en_US
dc.identifier.issn2168-3034en_US
dc.identifier.urihttp://dx.doi.org/10.1109/PAAP.2018.00029en_US
dc.identifier.urihttp://hdl.handle.net/11536/152462-
dc.description.abstractusing the cloud technology with Smart Protect Network (SPN) to do file virus scanning. The 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, the database designed to store cache is limited, 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 utilize data mining technique with clustering concept, by gathering the current feedback data we have from our SPN, 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 prototyping, this design for military communications can really reduce network traffic more than 20%. And the speed of file scanning time can faster more than 12%.en_US
dc.language.isoen_USen_US
dc.subjectMilitary Communicationsen_US
dc.subjectData Mining Methoden_US
dc.subjectCache Optimizationen_US
dc.subjectNetwork Trafficen_US
dc.titleCache Optimization Method to Reduce Network Traffic in Communication systemsen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/PAAP.2018.00029en_US
dc.identifier.journal2018 9TH INTERNATIONAL CONFERENCE ON PARALLEL ARCHITECTURES, ALGORITHMS AND PROGRAMMING (PAAP 2018)en_US
dc.citation.spage122en_US
dc.citation.epage125en_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:000469321700022en_US
dc.citation.woscount0en_US
Appears in Collections:Conferences Paper