Testbeds and Research Infrastructure: Development of Networks and Communities. 9th International ICST Conference, TridentCom 2014, Guangzhou, China, May 5-7, 2014, Revised Selected Papers

Research Article

Optimization-Based Atomic Capability Routing Model for Flexible Architecture of Reconfigurable Infrastructure

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  • @INPROCEEDINGS{10.1007/978-3-319-13326-3_40,
        author={Weiyang Liu and Hui Li and Fuxing Chen and Kai Pan},
        title={Optimization-Based Atomic Capability Routing Model for Flexible Architecture of Reconfigurable Infrastructure},
        proceedings={Testbeds and Research Infrastructure: Development of Networks and Communities. 9th International ICST Conference, TridentCom 2014, Guangzhou, China, May 5-7, 2014, Revised Selected Papers},
        proceedings_a={TRIDENTCOM},
        year={2014},
        month={11},
        keywords={Combinatorial Optimization FARI Atomic Capability Routing Protocol},
        doi={10.1007/978-3-319-13326-3_40}
    }
    
  • Weiyang Liu
    Hui Li
    Fuxing Chen
    Kai Pan
    Year: 2014
    Optimization-Based Atomic Capability Routing Model for Flexible Architecture of Reconfigurable Infrastructure
    TRIDENTCOM
    Springer
    DOI: 10.1007/978-3-319-13326-3_40
Weiyang Liu1,*, Hui Li1,*, Fuxing Chen1,*, Kai Pan1,*
  • 1: Peking University Shenzhen Graduate School
*Contact email: wyliu@pku.edu.cn, lih64@pkusz.edu.cn, chenfuxing@pku.edu.cn, pankai@pku.edu.cn

Abstract

There are more and more emerging problems in today’s Internet, indicating today’s Internet architecture can not meet the quality requirement of various applications and service. With conventional Internet under mounting pressure, a new future Internet architecture named as Flexible Architecture of Reconfigurable Infrastructure (FARI) has been developed and implemented in China. Aiming at designing a routing mechanism which is one of the most essential issue in any Internet architecture, this paper explores to establish an optimization-based atomic capability routing model that is able to optimally select or generate a routing protocol based on the current network quality of service (QoS) requirement. In experiments, the feasibility of this routing model is verified and results of complexity analysis are satisfying.