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Dissemination of Information with Fair Load Distribution in Self-organizing Grids

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Ant Colony Optimization and Swarm Intelligence (ANTS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5217))

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Abstract

This paper presents an ant-inspired algorithm for building a self-organizing information system of a Grid. Ant-inspired mobile agents travel the Grid through P2P (peer-to-peer) interconnections and disseminate “descriptors”, i.e., metadata information about available Grid resources. Descriptors are reorganized and spatially sorted over the Grid, thus facilitating resource management and discovery. Moreover, agents distribute descriptors so as to respect the different capabilities of Grid hosts: hosts with higher storage capacity are assigned a larger number of descriptors than low capacity hosts. The effectiveness of the presented algorithm is assessed by event-driven simulation which proves that the simple operations performed by mobile agents successfully achieve both descriptor reorganization and fair load distribution.

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References

  1. Foster, I., Kesselman, C.: The Grid 2: Blueprint for a New Computing Infrastructure. Morgan Kaufmann Publishers Inc., San Francisco (2003)

    Google Scholar 

  2. Cai, M., Frank, M., Chen, J., Szekely, P.: Maan: A multi-attribute addressable network for grid information services. In: Proc. of GRID 2003, 4th International Workshop on Grid Computing, Washington, DC, USA (2003)

    Google Scholar 

  3. Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm intelligence: from natural to artificial systems. Oxford University Press, New York (1999)

    MATH  Google Scholar 

  4. Forestiero, A., Mastroianni, C., Spezzano, G.: So-Grid: A self-organizing grid featuring bio-inspired algorithms. ACM Transactions on Autonomous and Adaptive Systems 3(2) (2008)

    Google Scholar 

  5. Forestiero, A., Mastroianni, C., Spezzano, G.: Antares: an ant-inspired P2P information system for a self-structured grid. In: Proc. of Bionetics 2007, 2nd International Conference on Bio-Inspired Models of Network, Information, and Computing Systems, Budapest, Hungary (2007)

    Google Scholar 

  6. Lumer, E.D., Faieta, B.: Diversity and adaptation in populations of clustering ants. In: Proc. of SAB 1994, 3rd International Conference on Simulation of Adaptive Behavior: from animals to animats, Cambridge, MA, USA (1994)

    Google Scholar 

  7. Barabási, A.L., Albert, R.: Emergence of scaling in random networks. Science 286(5439) (1999)

    Google Scholar 

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Authors

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Marco Dorigo Mauro Birattari Christian Blum Maurice Clerc Thomas Stützle Alan F. T. Winfield

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© 2008 Springer-Verlag Berlin Heidelberg

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Forestiero, A., Mastroianni, C., Spezzano, G. (2008). Dissemination of Information with Fair Load Distribution in Self-organizing Grids. In: Dorigo, M., Birattari, M., Blum, C., Clerc, M., Stützle, T., Winfield, A.F.T. (eds) Ant Colony Optimization and Swarm Intelligence. ANTS 2008. Lecture Notes in Computer Science, vol 5217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87527-7_29

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  • DOI: https://doi.org/10.1007/978-3-540-87527-7_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87526-0

  • Online ISBN: 978-3-540-87527-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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