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Self-organizing Nomadic Services in Grids

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Advances in Applied Self-organizing Systems

Part of the book series: Advanced Information and Knowledge Processing ((AI&KP))

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References

  • Allen, G., Angulo, D., Foster, I., Lanfermann, G., Lui, C., Radke, T., Seidel, E., and Shalf, J. (2001). The Cactus worm: Experiments with dynamic resource selection and allocation in a grid environment. International Journal of High-Performance Computing Applications, 15(4), 345–358.

    Article  Google Scholar 

  • Arthur, W. B. (1994). Inductive reasoning and bounded rationality. American Economic Review (Papers and Proceedings), 84(2), 406–411.

    Google Scholar 

  • Braun, P., and Rossak, W. R. (2005). Mobile Agents–Basic Concept, Mobility Models, and the Tracy Toolkit. Morgan Kaufmann San Francisco, CA, USA.

    Google Scholar 

  • Bruneo, D., Scarpa, M., Zaia, A., and Puliafito, A. (2003). Communication paradigms for mobile grid users. In the Proceedings of the 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, 2003 (CCGrid 2003), 669, Tokyo, Japan.

    Google Scholar 

  • Buyya, R. (2002). Economic-based Distributed Resource Management and Scheduling for Grid Computing. Monash University, Melbourne.

    MATH  Google Scholar 

  • Buyya, R., Abramson, D., Giddy, J., and Stockinger, H. (2002). Economic models for resource management and scheduling in grid computing. Special issue on grid computing environments, Journal of Concurrency and Computation: Practice and Experience, 13–15(14), 1507–1542.

    Article  Google Scholar 

  • Buyya, R., Chapin, S., and DiNucci, D. (2000). Architectural models for resource management in the grid. In Proceedings of the First International Workshop on Grid Computing, 18–35, Springer, LNCS, Bangalore, India.

    Google Scholar 

  • Challet, D., Marsili, M., and Ottino, G. (2004). Shedding light on El Farol. Physica A, 332, 469–482.

    Article  MathSciNet  Google Scholar 

  • Challet, D., and Zhang, Y. C. (1997). Emergence of cooperation and organization in an evolutionary game. Physica A, 407(246).

    Google Scholar 

  • Clearwater, S. H. (1996). Market-based Control. A Paradigm for Distributed Resource Allocation. World Scientific, Singapore.

    Book  Google Scholar 

  • Fluess, C. (2005). Capacity Planning of Mobile Agent Systems Designing Efficient Intranet Applications. PhD Thesis, Universität Duisburg-Essen, Germany.

    Google Scholar 

  • Fontana, J. (2004). Service-oriented Hype to Meet Hard Realities. Network World. http://www.networkworld.com/news/2004/11010

    Google Scholar 

  • Foster, I., and Kesselman, C. (1997). Globus: A metacomputing infrastructure toolkit. International Journal of Supercomputing Applications, 11(2), 115–129, MIT press; ISSN 1078–3482.

    Google Scholar 

  • Frey, J., Tannenbaum, T., Foster, I., Livny, M., and Tuecke, S. (2002). Condor-G: A computation management agent for multi-institutional grids. Cluster Computing, 5(3), 237–246.

    Article  Google Scholar 

  • Galstyan, A., Kolar, S., and Lerman, K. (2003). Resource allocation games with changing resource capacities. In J. S. Rosenschein, T. Sandholm, M. Wooldridge, and M. Yokoo, editors, Proceedings of the Second International Joint Conference on Autonomous Agents and Multi-Agent Systems, 2003, Melbourne, Australia, July 14-18, 2003, 145–152, ACM Press, New York.

    Google Scholar 

  • Grosu, D., Chronopoulos, A. T., and Leung, M.-Y. (2002). Load balancing in distributed systems: An approach using cooperative games. In Proceedings of the International Parallel and Distributed Processing Symposium, Ft. Lauderdale, FL. IEEE Computer Society, Washington, DC, USA, 196.

    Google Scholar 

  • Mainland, G., Parkes, D. C., and Welsh, M. (2005). Decentralized Adaptive Resource Allocation for Sensor Networks. In Proceedings of the 2nd USENIX Symposium on Network Systems Design and Implementation(NSDI ’05), May 2005, Boston, MA, USA.

    Google Scholar 

  • Manvi, S. S., Birje, M. N., and Prasad, B. (2005). An agent-based resource allocation model for computational grids. Multiagent and Grid Systems—An International Journal, 1(1), 17–27.

    Article  Google Scholar 

  • OASIS. (2006). Software Oriented Architecture (SOA) Reference Model. Available at http://www.oasis-open.org/committees/download.php/19361/soa-rm-cs.pdf, 15.09.2006.

    Google Scholar 

  • Outtagarts, A., Kadoch, M., and Soulhi, S. (1999). Client-server and mobile agent: performances comparative study in the management of MIBs. In Mobile Agents for Telecommunication Applications, Proceedings of the First International Workshop (MATA 1999), Ottawa (Canada), October 1999, World Scientific Publishing.

    Google Scholar 

  • Picco, G. P. (1998). Understanding, Evaluating, Formalizing, and Exploiting Code Mobility. Politecnico di Torino.

    Google Scholar 

  • Puliafito, A., Riccobene, S., and Scarpa, M. (2001). Which paradigm should I use? An analytical comparison of the client-server, remote evaluation and mobile agent paradigms. Concurrency and Computation: Practice and Experience, 13(1), 71–94.

    Article  Google Scholar 

  • Samaras, G., Dikaiakos, M. D., Spyrou, C., and Liverdos, A. (1999). Mobile agent platforms for web-databases: A qualitative and quantitative assessment. In Proceedings of the First International Symposium on Agent Systems and Applications (ASA’99)/Third International Symposium on Mobile Agents (MA’99), Palm Springs, CA, IEEE Computer Society Press, Washington, DC, USA.

    Google Scholar 

  • Strasser, M., and Schwehm, M. (1997). A performance model for mobile agent systems. In Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA’97), pages 1132–1140, CSREA Press, Las Vegas, NV, USA, June 30–July 3, 1997.

    Google Scholar 

  • Theilmann, W., and Rothermel, K. (2000). Dynamic distance maps of the internet. In Proceedings of the 2000 IEEE INFOCOM Conference, Tel Aviv March 2000 IEEE Computer Society Press, Washington, DC, USA, pages 275–284.

    Google Scholar 

  • Vigna, G. (2004). Mobile agents: Ten reasons for failure. In Proceedings of the 2004 IEEE International Conference on Mobile Data Management (MDM’04), pages 298–299. IEEE Computer Society, Los Alamitos, CA, USA.

    Chapter  Google Scholar 

  • Waldrop, M. M. (1992). Complexity: The Emerging Science at the Edge of Order and Chaos. (1st Edition) Simon and Schuster, New York.

    Google Scholar 

  • Wolski, R., Plank, J. S., Brevik, J., and Bryan, T. (2001). Analyzing market-based resource allocation strategies for the computational grid. International Journal of High Performance Computing Applications, 15, pages 258–281, Sage Science Press.

    Article  Google Scholar 

  • Wooldridge, M. (2002). An Introduction to Multi-Agent Systems. Wiley. John Wiely & Sons, Chichester, England.

    Google Scholar 

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Authors
  1. Tino Schlegel
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  2. Ryszard Kowalczyk
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Editor information

Editors and Affiliations

  1. Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia

    Mikhail Prokopenko PhD, MA, MSc (Hon)

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© 2008 Springer-Verlag London Limited

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Schlegel, T., Kowalczyk, R. (2008). Self-organizing Nomadic Services in Grids. In: Prokopenko, M. (eds) Advances in Applied Self-organizing Systems. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-84628-982-8_10

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  • DOI: https://doi.org/10.1007/978-1-84628-982-8_10

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84628-981-1

  • Online ISBN: 978-1-84628-982-8

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