.png){kind=icon}
返回
Using Cache Optimization Method to Reduce Network Traffic in Communication Systems Based on Cloud Computing
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2019.2938044.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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%.
Keyword:
Cloud computing
cache optimization
network traffic
data mining
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
.png){kind=icon}
1H, 13C, 19F and 11B NMR spectral reference data of some potassium organotrifluoroborates某些有机三氟硼酸钾的 1H，13C，19F和 11B NMR光谱参考数据
OAAI
OAAI分享收藏分享收藏
查看更多内容