The Effect of Community on Distributed Bio-inspired Service Composition

  • Raymond Carroll
  • Sasitharan Balasubramaniam
  • Dmitri Botvich
  • William Donnelly
Conference paper
Part of the Proceedings in Information and Communications Technology book series (PICT, volume 2)


The Future Internet is expected to cater for both a larger number and variety of services, which in turn will make basic tasks such as service lifecycle management increasingly important and difficult. At the same time, the ability for users to efficiently discover and compose these services will become a key factor for service providers to differentiate themselves in a competitive market. In previous work, we examined the effect adding biological mechanisms to services had on service management and discovery. In this paper we examine the effects of community on services, specifically in terms of composing services in a distributed fashion. By introducing aspects of community we aim to demonstrate that services can further improve their sustainability and indeed their efficiency.


Completion Rate Community Leader Service Composition Service Request Gradient Search 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Balasubramaniam, S., Botvich, D., Carroll, R., Mineraud, J., Nakano, T., Suda, T., Donnelly, W.: Adaptive Dynamic Routing Supporting Service Management for Future Internet. Accepted for publication in proceedings of the Global Communication Conference (Globecom) 2009, Hawaii (2009)Google Scholar
  2. 2.
    Herborn, S., Lopez, Y., Seneviratne, A.: A Distributed Scheme for Autonomous Service Composition. In: Proceedings of 1st ACM International Workshop on Multimedia Service Composition, Singapore (2005)Google Scholar
  3. 3.
    Gu, X., Nahrstedt, K.: Distributed Multimedia Service Composition with Statistical QoS Assurances. IEEE Transactions on Multimedia (2005)Google Scholar
  4. 4.
    Hu, S., Muthusamy, V., Li, G., Jacobsen, H.: Distributed automatic service composition in large-scale systems. In: Proceedings of the Second International Conference on Distributed Event-Based Systems, DEBS 2008, Rome, Italy, July 1-4 (2008)Google Scholar
  5. 5.
    Fujii, K., Suda, T.: Dynamic Service Composition Using Semantic Information. In: Proceedings of 2nd international conference on Service oriented computing, NewYork (2004)Google Scholar
  6. 6.
    Miorandi, D., Yamamoto, L., Dini, P.: Service Evolution in a Bio-inspired Communication System. Service Evolution in a Bio-inspired Communication System 2(6), 573–587 (2006)Google Scholar
  7. 7.
    Suzuki, J., Suda, T.: A Middleware Platform for a Biologically Inspired Network Architecture Supporting Autonomous and Adaptive Applications. IEEE Journal on selected areas in Communications 23(2) (February 2005)Google Scholar
  8. 8.
    Nakano, T., Suda, T.: Self-organizing Network Services with Evolutionary Adaptation. IEEE Transaction on Neural Networks 16(5) (September 2005)Google Scholar
  9. 9.
    Hui, P., Crowcroft, J., Yoneki, E.: BUBBLE Rap: Social-based Forwarding in Delay Tolerant Networks. In: Proceeding of the 9th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), HongKong (May 2008)Google Scholar

Copyright information

© Springer Tokyo 2010

Authors and Affiliations

  • Raymond Carroll
    • 1
  • Sasitharan Balasubramaniam
    • 1
  • Dmitri Botvich
    • 1
  • William Donnelly
    • 1
  1. 1.TSSG, Waterford Institute of TechnologyWaterfordIreland

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