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Teaching about Madrid: A Collaborative Agents-Based Distributed Learning Course

  • Conference paper
On the Move to Meaningful Internet Systems: OTM 2008 Workshops (OTM 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5333))

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Abstract

Interactive art courses require a huge amount of computational resources to be running on real time. These computational resources are even bigger if the course has been designed as a Virtual Environment with which students can interact. In this paper, we present an initiative that has been develop in a close collaboration between two Spanish Universities: Universidad Politécnica de Madrid and Universidad Rey Juan Carlos with the aim of join two previous research project: a Collaborative Awareness Model for Task-Balancing-Delibery (CAMT) in clusters and the “Teaching about Madrid” course, which provides a cultural interactive background of the capital of Spain.

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References

  1. Beltrán, M., Bosque, J.L., Guzmán, A.: Resource Disseminatioin policies on Grids. In: On the Move to Meaningful Internet Systems 2004: OTM 2004. LNCS, pp. 135–144. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  2. Benford, S.D., Fahlén, L.E.: A Spatial Model of Interaction in Large Virtual Environments. In: Proceedings of the Third European Conference on Computer Supported Cooperative Work (ECSCW 1993), Milano. Italy, pp. 109–124 (1993)

    Google Scholar 

  3. Casavant, T.L., Kuhl, J.G.: A taxonomy of scheduling in general-purpose distributed computing systems. In: Readings and Distributed Computing Systems, pp. 31–51 (1994)

    Google Scholar 

  4. Corradi, A., Leonardi, L., Zambonelli, F.: Diffusive load-balancing policies for dynamic applications. IEEE Concurrency 7(1), 22–31 (1999)

    Article  Google Scholar 

  5. Darbha, S., Agrawal, D.P.: Optimal scheduling algorithm for distributed-memory machines. IEEE Trans. on Parallel and Distributed Systems 9(1), 87–95 (1998)

    Article  Google Scholar 

  6. Das, S.K., Harvey, D.J., Biswas, R.: Parallel processing of adaptive meshes with load balancing. IEEE Trans. on Parallel and Distributed Systems (12), 1269–1280 (2001)

    Article  Google Scholar 

  7. Desic, S., Huljenic, D.: Agents based load balancing with component distribution capability. In: Proceedings of the 2nd International Symposium on Cluster Computing and the Grid (CCGRID 2002) (2002)

    Google Scholar 

  8. Greenhalgh, C.: Large Scale Collaborative Virtual Environments, Doctoral Thesis. University of Nottingham (October 1997)

    Google Scholar 

  9. Kunz, T.: The influence of different workload descriptions on a heuristic load balancing scheme. IEEE Transactions on Software Engineering 17(7), 725–730 (1991)

    Article  Google Scholar 

  10. Schnor, B., Petri, S., Oleyniczak, R., Langendorfer, H.: Scheduling of Parallel Applications on Heterogeneous Workstation Clusters. In: Proc. of the 9th Int. Conf. on Parallel and Distributed Computing Systems, vol. 1, pp. 330–337 (September 1996)

    Google Scholar 

  11. Xiao, L., Chen, S., Zhang, X.: Dynamic cluster resource allocations for jobs with known and unknown memory demands. IEEE Trans. on Parallel and Distributed Systems 13(3), 223–240 (2002)

    Article  Google Scholar 

  12. Xu, C., Lau, F.: Load balancing in parallel computers: theory and practice. Kluwer Academic Publishers, Dordrecht (1997)

    MATH  Google Scholar 

  13. Rajagopalan, A., Hariri, S.: An Agent Based Dynamic Load Balancing System. In: Proc. of the Int.l. Workshop on Autonomous Decentralized Systems, pp. 164–171 (2000)

    Google Scholar 

  14. Suri, N., Groth, P.T., Bradshaw, J.M.: While You’re Away: A System for Load-Balancing and Resource Sharing Based on Mobile Agents. In: 1st Int. Sym. on Cluster Computing and the Grid, p. 470 (2001)

    Google Scholar 

  15. Vanhastel, S., De Turck, F., Demeester, P.: Design of a generic platform for efficient and scalable cluster computing based on middleware technology. In: Proceedings of the CCGRID 2001, pp. 40–47 (2001)

    Google Scholar 

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© 2008 Springer-Verlag Berlin Heidelberg

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Bosque, J.L., Herrero, P., Mata, S. (2008). Teaching about Madrid: A Collaborative Agents-Based Distributed Learning Course. In: Meersman, R., Tari, Z., Herrero, P. (eds) On the Move to Meaningful Internet Systems: OTM 2008 Workshops. OTM 2008. Lecture Notes in Computer Science, vol 5333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88875-8_28

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  • DOI: https://doi.org/10.1007/978-3-540-88875-8_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88874-1

  • Online ISBN: 978-3-540-88875-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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