標題: Using Cache Optimization Method to Reduce Network Traffic in Communication Systems Based on Cloud Computing
作者: Kang, Lanlan
Chen, Ruey-Shun
Chen, Yeh-Cheng
Wang, Chung-Chei
Li, Xingguan
Wu, Tsu-Yang
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
關鍵字: Cloud computing;cache optimization;network traffic;data mining
公開日期: 1-一月-2019
摘要: 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, 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%.
URI: http://dx.doi.org/10.1109/ACCESS.2019.2938044
http://hdl.handle.net/11536/153070
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2019.2938044
期刊: IEEE ACCESS
Volume: 7
起始頁: 124397
結束頁: 124409
顯示於類別:期刊論文