Skip to main content

Improving Grid Nodes Coalitions by Using Reputation

  • Conference paper

Part of the book series: Studies in Computational Intelligence ((SCI,volume 570))

Abstract

In this work we deal with the issue of improving the QoS provided by each node of a Grid Federation, by modelling it as a problem of “Grid formation”. In the proposed model each Grid node belonging to a computational Grid, is free to join with or leave a grid with the goal of improving its satisfaction. Contextually, each grid is free to search other nodes to join with it or to remove those nodes resulted ineffective. Software agents manage the node profiles and in our model a Grid agent has the role of handling the profile of the Grid.We introduce a distributed algorithm, called GF, to handle the node activity of joining to the grid, modelled as a matching problem. Some experiments shown the effectiveness of our approach.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Abdul-Rahman, A., Hailes, S.: Supporting trust in virtual communities. In: HICSS, vol. 6. IEEE Computer Society, Washington, DC (2000)

    Google Scholar 

  2. De Meo, P., Ferrara, E., Rosaci, D., Sarnè, G.M.L.: How to improve group homogeneity in online social networks. In: Proceedings of the 14th WOA 2013. CEUR Workshop Proceedings, vol. 1099. CEUR-WS.org (2011)

    Google Scholar 

  3. De Meo, P., Nocera, A., Terracina, G., Ursino, D.: Recommendation of similar users, resources and social networks in a social internetworking scenario. Information Sciences 181(7), 1285–1305 (2011)

    Article  Google Scholar 

  4. De Meo, P., Quattrone, G., Ursino, D.: Integration of the hl7 standard in a multiagent system to support personalized access to e-health services. IEEE Trans. on Knowledge and Data Engineering 23(8), 1244–1260 (2011)

    Article  Google Scholar 

  5. Foster, I., Kesselman, C.: The Grid 2: Blueprint for a new computing infrastructure. Access Online via Elsevier (2003)

    Google Scholar 

  6. Jennings, N.R., Wooldridge, M.: Applying agent technology. Applied Artificial Intelligence 9(4), 357–369 (1995)

    Article  MathSciNet  Google Scholar 

  7. Katia, L., Eduardo, H., Ignacio, M.L.: A decentralized model for scheduling independent tasks in federated grids. Future Generation Computer Systems 25(8), 840–852 (2009)

    Article  Google Scholar 

  8. Khan, S.U., Ahmad, I.: Non-cooperative, semi-cooperative, and cooperative games-based grid resource allocation. In: 20th International Parallel and Distributed Processing Symposium, IPDPS 2006, 10 p. IEEE (2006)

    Google Scholar 

  9. Kivity, A., Kamay, Y., Laor, D., Lublin, U., Liguori, A.: KVM: the linux virtual machine monitor. In: Proc. of the Linux Symp., vol. 1, pp. 225–230 (2007)

    Google Scholar 

  10. Lax, G., Sarné, G.M.L.: CellTrust: a reputation model for C2C commerce. Electronic Commerce Research 8(4), 193–216 (2006)

    Article  Google Scholar 

  11. Massa, P.: A survey of trust use and modeling in current real systems. In: Trust in E-Services: Technologies, Practices and Challenges. Idea Group Publishing (2006)

    Google Scholar 

  12. Messina, F., Pappalardo, G., Rosaci, D., Santoro, C., Sarné, G.M.L.: HySoN: A distributed agent-based protocol for group formation in online social networks. In: Klusch, M., Thimm, M., Paprzycki, M. (eds.) MATES 2013. LNCS, vol. 8076, pp. 320–333. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  13. Messina, F., Pappalardo, G., Rosaci, D., Santoro, C., Sarné, G.M.L.: A trust-based approach for a competitive cloud/Grid computing scenario. In: Fortino, G., Badica, C., Malgeri, M., Unland, R. (eds.) IDC 2012. SCI, vol. 446, pp. 129–138. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  14. Messina, F., Pappalardo, G., Rosaci, D., Santoro, C., Sarné, G.M.L.: A distributed agent-based approach for supporting group formation in P2P e-learning. In: Baldoni, M., Baroglio, C., Boella, G., Micalizio, R. (eds.) AI*IA 2013. LNCS, vol. 8249, pp. 312–323. Springer, Heidelberg (2013)

    Google Scholar 

  15. Messina, F., Pappalardo, G., Santoro, C.: Complexsim: a flexible simulation platform for complex systems. International Journal of Simulation and Process Modelling, 8(4), 202–211

    Google Scholar 

  16. Messina, F., Pappalardo, G., Santoro, C.: Complexsim: An smp-aware complex network simulation framework. In: 2012 Sixth International Conference on Complex, Intelligent and Software Intensive Systems (CISIS), pp. 861–866 (2012)

    Google Scholar 

  17. Messina, F., Pappalardo, G., Santoro, C.: Decentralised resource finding in cloud/grid computing environments: A performance evaluation. In: WETICE, pp. 143–148

    Google Scholar 

  18. Messina, F., Pappalardo, G., Santoro, C.: Exploiting gpus to simulate complex systems. In: 2013 17th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS), pp. 535–540 (2013)

    Google Scholar 

  19. Messina, F., Pappalardo, G., Santoro, C.: Hygra: A decentralized protocol for resource discovery and job allocation in large computational grids. In: 2010 IEEE Symposium on Computers and Communications (ISCC), pp. 817–823 (2010)

    Google Scholar 

  20. Ranjan, R., Buyya, R., Harwood, A.: A case for cooperative and incentive-based coupling of distributed clusters. In: IEEE Int. Cluster Computing, pp. 1–11 (September 2005)

    Google Scholar 

  21. Ranjan, R., Harwood, A., Buyya, R., et al.: Grid federation: An economy based, scalable distributed resource management system for large-scale resource coupling. In: Grid Computing and Distributed Systems Laboratory, University of Melbourne, Australia (2004)

    Google Scholar 

  22. Ranjan, R., Rahman, M., Buyya, R.: A decentralized and cooperative workflow scheduling algorithm. In: 8th Int. Symp. on Cluster Computing and the Grid, pp. 1–8. IEEE (2008)

    Google Scholar 

  23. Rosaci, D.: Trust measures for competitive agents. Knowledge-Based Systems 28, 38–46 (2012)

    Article  Google Scholar 

  24. Rosaci, D., Sarné, G.M.L.: Efficient personalization of e-learning activities using a multi-device decentralized recommender system. Computational Intelligence 26(2), 121–141 (2010)

    Article  MATH  MathSciNet  Google Scholar 

  25. Rosaci, D., Sarné, G.M.L.: Recommending multimedia Web services in a multi-device environment. Information Systems 38(2), 198–212 (2013)

    Article  Google Scholar 

  26. Rosaci, D., Sarné, G.M.L.: Matching users with groups in social networks. In: Zavoral, F., Jung, J.J., Badica, C. (eds.) IDC 2013. SCI, vol. 511, pp. 45–54. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  27. Vázquez, T., Huedo, E., Montero, R.S., Llorente, I.M.: Evaluation of a utility computing model based on the federation of grid infrastructures. In: Kermarrec, A.-M., Bougé, L., Priol, T. (eds.) Euro-Par 2007. LNCS, vol. 4641, pp. 372–381. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pasquale De Meo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

De Meo, P., Messina, F., Rosaci, D., Sarné, G.M.L. (2015). Improving Grid Nodes Coalitions by Using Reputation. In: Camacho, D., Braubach, L., Venticinque, S., Badica, C. (eds) Intelligent Distributed Computing VIII. Studies in Computational Intelligence, vol 570. Springer, Cham. https://doi.org/10.1007/978-3-319-10422-5_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-10422-5_15

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10421-8

  • Online ISBN: 978-3-319-10422-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics