A Novel Framework of Data-Driven Networking

被引：13

作者：

Yao, Haipeng ^{[1
]}

Qiu, Chao ^{[2
]}

Fang, Chao ^{[3
]}

Chen, Xu ^{[1
]}

Yu, F. Richard ^{[4
]}

机构：

[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing, Peoples R China

[2] Beijing Univ Posts & Telecommun, Key Lab Univ Wireless Commun, Minist Educ, Beijing, Peoples R China

[3] Beijing Univ Technol, Coll Informat & Commun Engn, Beijing Adv Innovat Ctr Future Internet Technol, Beijing, Peoples R China

[4] Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON, Canada

来源：

IEEE ACCESS | 2016年 / 4卷

基金：

中国国家自然科学基金;

关键词：

Big data analysis; SDN; CCN; cache management; data-driven networking;

D O I：

10.1109/ACCESS.2016.2624781

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Many communities have researched the application of novel network architectures, such as content-centric networking (CCN) and software-defined networking (SDN), to build the future Internet. Another emerging technology which is big data analysis has also won lots of attentions from academia to industry. Many splendid researches have been done on CCN, SDN, and big data, which all have addressed separately in the traditional literature. In this paper, we propose a novel network paradigm to jointly consider CCN, SDN, and big data, and provide the architecture internal data flow, big data processing, and use cases which indicate the benefits and applicability. Simulation results are exhibited to show the potential benefits relating to the proposed network paradigm. We refer to this novel paradigm as data-driven networking.

引用

页码：9066 / 9072

页数：7

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