Bioinspired Models of Network, Information, and Computing Systems. 4th International Conference, BIONETICS 2009, Avignon, France, December 9-11, 2009, Revised Selected Papers

Research Article

Simulation and Implementation of the Autonomic Service Mobility Framework

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  • @INPROCEEDINGS{10.1007/978-3-642-12808-0_6,
        author={Janne Lahti and Helena Rivas and Jyrki Huusko and Ville K\o{}n\o{}nen},
        title={Simulation and Implementation of the Autonomic Service Mobility Framework},
        proceedings={Bioinspired Models of Network, Information, and Computing Systems. 4th International Conference, BIONETICS 2009, Avignon, France, December 9-11, 2009, Revised Selected Papers},
        proceedings_a={BIONETICS},
        year={2012},
        month={5},
        keywords={Migration mobility service architecture Internet utility function},
        doi={10.1007/978-3-642-12808-0_6}
    }
    
  • Janne Lahti
    Helena Rivas
    Jyrki Huusko
    Ville Könönen
    Year: 2012
    Simulation and Implementation of the Autonomic Service Mobility Framework
    BIONETICS
    Springer
    DOI: 10.1007/978-3-642-12808-0_6
Janne Lahti1,*, Helena Rivas1,*, Jyrki Huusko1,*, Ville Könönen1,*
  • 1: VTT
*Contact email: janne.lahti@vtt.fi, helena.rivas@vtt.fi, jyrki.huusko@vtt.fi, ville.kononen@vtt.fi

Abstract

The increased traffic load, proliferation of network nodes and, in particular, wireless user devices, and the boom in user services and exponential growth of information stored in content distribution networks (CDNs) have brought new challenges for current networks. One major challenge has and continues to be efficient load balancing and information access. The topics have been well studied for wired networks for, for example, process load balancing in distributed computer networks with migration. However, the wireless networks and ubiquitous computing environments create new limitations and additional requirements to perform service or process migration. In this paper, we present a simulation case and proof-of-concept implementation for service mobility as a part of the BIONETS service evolution process with the aim of optimizing service penetration in a pervasive computing environment and balancing the load in the system caused by the high service utilization rate.