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ZTE Communications ›› 2013, Vol. 11 ›› Issue (2): 3-10.DOI: DOI: 10.3969/j.issn.1673-5188.2013.02.001

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Content Centric Networking: A New Approach to Big Data Distribution

Yi Zhu1,2 and Zhengkun Mi1   

  1. 1.Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
    2.School of Computer Science and Telecommunication Engineering, University of Jiangsu, Zhenjiang 212013, China
  • 收稿日期:2013-04-05 出版日期:2013-06-25 发布日期:2013-06-25
  • 作者简介:Yi Zhu (zhuyi@ujs.edu.cn) received his MS degree in computer application technology from Jiangsu University, China, in 2006. He is an associate professor in the School of Computer Science and Telecommunication Engineering, Jiangsu University. He is currently pursuing his PhD degree at Nanjing University of Posts and Telecommunications. His research interests include information-centric networking, content-centric networking, and green networking.

    Zhengkun Mi (mizk@njupt.edu.cn) is a professor in the College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications. He is also a fellow of the Chinese Institute of Communications and a member of the Chinese Expert Delegation to ITU-T SG16. For more than 30 years, he has been researching and teaching switching and network technologies. His research interests include next-generation network theory and technologies, heterogeneous network and service convergence, and network virtualization.
  • 基金资助:
    This work is supported by National Natural Science Foundation of China under Grant No.60872018 and No. 60902015, and Major National Science and Technology Project No. 2011ZX03005-004-03. Content Centric Networking: A New Approach to Big Data Distribution Yi Zhu and Zhengkun Mi Special Topic June

Content Centric Networking: A New Approach to Big Data Distribution

Yi Zhu1,2 and Zhengkun Mi1   

  1. 1.Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
    2.School of Computer Science and Telecommunication Engineering, University of Jiangsu, Zhenjiang 212013, China
  • Received:2013-04-05 Online:2013-06-25 Published:2013-06-25
  • About author:Yi Zhu (zhuyi@ujs.edu.cn) received his MS degree in computer application technology from Jiangsu University, China, in 2006. He is an associate professor in the School of Computer Science and Telecommunication Engineering, Jiangsu University. He is currently pursuing his PhD degree at Nanjing University of Posts and Telecommunications. His research interests include information-centric networking, content-centric networking, and green networking.

    Zhengkun Mi (mizk@njupt.edu.cn) is a professor in the College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications. He is also a fellow of the Chinese Institute of Communications and a member of the Chinese Expert Delegation to ITU-T SG16. For more than 30 years, he has been researching and teaching switching and network technologies. His research interests include next-generation network theory and technologies, heterogeneous network and service convergence, and network virtualization.
  • Supported by:
    This work is supported by National Natural Science Foundation of China under Grant No.60872018 and No. 60902015, and Major National Science and Technology Project No. 2011ZX03005-004-03. Content Centric Networking: A New Approach to Big Data Distribution Yi Zhu and Zhengkun Mi Special Topic June

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摘要： In this paper, we explore network architecture and key technologies for content-centric networking (CCN), an emerging networking technology in the big-data era. We describe the structure and operation mechanism of a CCN node. Then we discuss mobility management, routing strategy, and caching policy in CCN. For better network performance, we propose a probability cache replacement policy that is based on content popularity. We also propose and evaluate a probability cache with evicted copy-up decision policy.

关键词: big data, content-centric networking, caching policy, mobility management, routing strategy

Abstract: In this paper, we explore network architecture and key technologies for content-centric networking (CCN), an emerging networking technology in the big-data era. We describe the structure and operation mechanism of a CCN node. Then we discuss mobility management, routing strategy, and caching policy in CCN. For better network performance, we propose a probability cache replacement policy that is based on content popularity. We also propose and evaluate a probability cache with evicted copy-up decision policy.

Key words: big data, content-centric networking, caching policy, mobility management, routing strategy