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A Survey on Smart Collaborative Identifier Networks

     

摘要

The current Internet architecture was designed on the basis of a triple bindings model, which could meet the needs of the early Internet. However, with the tremendous growth of the Internet and the continuous innovations of applications, the triple bind-ings (namely, control/data binding, resource/location binding and useretwork binding) have given rise to many problems for the Internet, such as scalability, mobility, and se-curity. In order to solve these problems, many network techniques have been developed. Besides, novel future Internet architectures including Information-Centric Networks and Software-Defined Networks have emerged. However, these architectures only partially decouple the triple bindings. To completely separate the triple bindings, Smart Collabora-tive Identifier Networks (SINET) is proposed. There have been many research efforts on SINET, which built the foundation of SINET being a promising future Internet. In this pa-per, we comprehensively introduce SINET and these related research works. We start by introducing the motivation for SINET, explain its fundamental concepts and how it can make a difference. Next, we present in details the design principles of every layer in SINET, explaining how it can decouple the triple bindings and solve the problems of the current Internet. Finally, we discuss the state-of-the-art challenges in SINET. We investigate the ongoing research works and commercial prod-ucts in SINET, with aspects such as scalability, mobility, security and reliability.

著录项

  • 来源
    《中国通信》|2018年第3期|168-185|共18页
  • 作者

    Haifeng Li; Hongke Zhang;

  • 作者单位

    National Engineering Lab on Next Generation Internet, Institute of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China;

    National Engineering Lab on Next Generation Internet, Institute of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China;

  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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