2nd Workshop on Computing and Communications from Biological Systems: Theory and Applications

Research Article

Nature-based Information Networking: On Exploring Robustness in TCP Inspired by Cellular Signaling

  • @INPROCEEDINGS{10.4108/ICST.BIONETICS2008.4727,
        author={Jian-Qin Liu and Kenji Leibnitz and Masayuki Murata},
        title={Nature-based Information Networking: On Exploring Robustness in TCP Inspired by Cellular Signaling},
        proceedings={2nd Workshop on Computing and Communications from Biological Systems: Theory and Applications},
        publisher={ACM},
        proceedings_a={CCBS},
        year={2010},
        month={5},
        keywords={Cellular signaling cell cycle information networks TCP/RED},
        doi={10.4108/ICST.BIONETICS2008.4727}
    }
    
  • Jian-Qin Liu
    Kenji Leibnitz
    Masayuki Murata
    Year: 2010
    Nature-based Information Networking: On Exploring Robustness in TCP Inspired by Cellular Signaling
    CCBS
    ICST
    DOI: 10.4108/ICST.BIONETICS2008.4727
Jian-Qin Liu1,*, Kenji Leibnitz2,*, Masayuki Murata2,*
  • 1: NICT KARC, Bio ICT Group, 588-2 Iwaoka, Iwaoka-cho, Nishi-ku, Kobe, Hyogo, 651-2492 Japan.
  • 2: Osaka University, IST, 1-5 Yamadaoka, Suita, Osaka, 565-0871 Japan.
*Contact email: liu@nict.go.jp, leibnitz@ist.osaka-u.ac.jp, murata@ist.osaka-u.ac.jp

Abstract

In this paper we will discuss the similarities found in the dynamics of cellular signal transduction networks in nature and that of communication network protocols. Based on the simplified observations from the signaling processes of the cyclin (cln) protein during the cell cycle in yeast, we formulate a generic master equation, which describes the general robustness of the system and can be applied to characterize different variants of the Transmission Control Protocol (TCP) such as FAST, Reno, HSTCP, or STCP. By presenting the generalized controller mechanism for describing the dynamics of cln signaling at system level, we infer that any corresponding second order system is similarly controllable. It is our intention that this formulation of a master equation leads to a better quantitative description of the cellular signaling process, as well as to a more robust design of protocols to be applied in new generation network architectures.