A Novel Framework of Data-Driven Networking

IEEE Access

Chao Fang¹  F. Richard Yu²  Chao Qiu³  Haipeng Yao⁴  Xu Chen⁴ 

[1] Beijing Advanced Innovation Center for Future Internet Technology, College of Information and Communication Engineering, Beijing University of Technology, Beijing, China;Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada;Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China;State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China;

关键词: Big data analysis;    SDN;    CCN;    cache management;    data-driven networking;   

DOI  :  10.1109/ACCESS.2016.2624781

来源: DOAJ

【 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.

【 授权许可】

Unknown