完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Chen, Ruey-Shun | en_US |
dc.contributor.author | Chen, Yeh-Cheng | en_US |
dc.contributor.author | Hu, Yu-Xi | en_US |
dc.contributor.author | Horng, Shi-Jinn | en_US |
dc.contributor.author | Fan, Xiaopeng | en_US |
dc.contributor.author | Wang, T-C | en_US |
dc.contributor.author | Xiong, Naixue | en_US |
dc.date.accessioned | 2019-08-02T02:24:19Z | - |
dc.date.available | 2019-08-02T02:24:19Z | - |
dc.date.issued | 2018-01-01 | en_US |
dc.identifier.isbn | 978-1-5386-9403-9 | en_US |
dc.identifier.issn | 2168-3034 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1109/PAAP.2018.00029 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/152462 | - |
dc.description.abstract | using 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.iso | en_US | en_US |
dc.subject | Military Communications | en_US |
dc.subject | Data Mining Method | en_US |
dc.subject | Cache Optimization | en_US |
dc.subject | Network Traffic | en_US |
dc.title | Cache Optimization Method to Reduce Network Traffic in Communication systems | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.doi | 10.1109/PAAP.2018.00029 | en_US |
dc.identifier.journal | 2018 9TH INTERNATIONAL CONFERENCE ON PARALLEL ARCHITECTURES, ALGORITHMS AND PROGRAMMING (PAAP 2018) | en_US |
dc.citation.spage | 122 | en_US |
dc.citation.epage | 125 | en_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.department | Department of Information Management and Finance | en_US |
dc.identifier.wosnumber | WOS:000469321700022 | en_US |
dc.citation.woscount | 0 | en_US |
顯示於類別: | 會議論文 |