Densifying the Sparse Cloud SimSaaS: The need of a Synergy among Agent-directed Simulation, SimSaaS and HLA

Tiago Azevedo, Rosaldo J. F. Rossetti, Jorge G. Barbosa

2015

Abstract

Modelling & Simulation (M&S) is broadly used in real scenarios where making physical modifications could be highly expensive. With the so-called Simulation Software-as-a-Service (SimSaaS), researchers could take advantage of the huge amount of resource that cloud computing provides. Even so, studying and analysing a problem through simulation may need several simulation tools, hence raising interoperability issues. Having this in mind, IEEE developed a standard for interoperability among simulators named High Level Architecture (HLA). Moreover, the multi-agent system approach has become recognised as a convenient approach for modelling and simulating complex systems. Despite all the recent works and acceptance of these technologies, there is still a great lack of work regarding synergies among them. This paper shows by means of a literature review this lack of work or, in other words, the sparse Cloud SimSaaS. The literature review and the resulting taxonomy are the main contributions of this paper, as they provide a research agenda illustrating future research opportunities and trends.

References

  1. Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., et al. (2010). A view of cloud computing. Communications of the ACM, 53(4):50-58.
  2. Bonomi, F., Milito, R., Zhu, J., and Addepalli, S. (2012). Fog computing and its role in the internet of things. In
  3. Cayirci, E. (2013a). A joint trust and risk model for MSaaS mashups. pages 1347-1358, Washington, DC.
  4. Cayirci, E. (2013b). Configuration schemes for modeling and simulation as a service federation. Simulation, 89(11):1388-1399.
  5. Cayirci, E. (2013c). Modeling and simulation as a cloud service: A survey. pages 389-400, Washington, DC.
  6. Dragoicea, M., Bucur, L., Tsai, W.-T., and Sarjoughian, H. (2012). Integrating HLA and Service-Oriented Architecture in a Simulation Framework. In Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (Ccgrid 2012), CCGRID 7812, pages 861-866, Washington, DC, USA. IEEE Computer Society.
  7. Foster, I., Zhao, Y., Raicu, I., and Lu, S. (2008). Cloud computing and grid computing 360-degree compared. In Grid Computing Environments Workshop, 2008. GCE'08, pages 1-10. Ieee.
  8. Geelan, J. (2009). Twenty-one experts define cloud computing. Cloud Computing Journal, 4:1-5.
  9. Guo, S., Bai, F., and Hu, X. (2011). Simulation software as a service and Service-Oriented simulation experiment. pages 113-116, Las Vegas, NV.
  10. Härri, J., Killat, M., Tielert, T., Mittag, J., and Hartenstein, H. b. (2010). DEMO: Simulation-as-a-service for ITS applications. Taipei.
  11. IEEE (2010a). IEEE Standard for Modeling and Simulation (M &S) High Level Architecture (HLA)- Framework and Rules. IEEE Std 1516-2010 (Revision of IEEE Std 1516-2000), pages 1-38.
  12. IEEE (2010b). IEEE Standard for Modeling and Simulation (M &S) High Level Architecture (HLA)- Object Model Template (OMT) Specification. IEEE Std 1516.2-2010 (Revision of IEEE Std 1516.2-2000), pages 1-110.
  13. IEEE (2010c). IEEE Standard for Modeling and Simulation (M&S) High Level Architecture (HLA)- Federate Interface Specification. IEEE Std 1516.1-2010 (Revision of IEEE Std 1516.1-2000), pages 1-378.
  14. Liu, X., Qiu, X., Chen, B., He, Q., and Huang, K. (2012a). Scheduling parallel discrete event simulation jobs in the cloud. volume 2012, London.
  15. Liu, X., Qiu, X., Chen, B., and Huang, K. (2012b). Cloud-based simulation: The state-of-the-art computer simulation paradigm. In Proceedings of the 2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation, PADS 7812, pages 71-74, Zhangjiajie. IEEE Computer Society.
  16. Mell, P. and Grance, T. (2011). The nist definition of cloud computing.
  17. Miluzzo, E. (2014). I'm Cloud 2.0, and I'm Not Just a Data Center. Internet Computing, IEEE, 18(3):73-77.
  18. Moya, L. J. and Tolk, A. (2007). Towards a taxonomy of agents and multi-agent systems. In Proceedings of the 2007 spring simulation multiconference-Volume 2, pages 11-18. Society for Computer Simulation International.
  19. Sawicki, B., Chaber, B., StarzyÁski, J., and Szmuro, R. (2012). Internet application concept to trivialize EMF biomedical computing. COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 31(4):1190-1197.
  20. Shao, G. and McGraw, R. (2009). Service-oriented Simulations for Enhancing Situation Awareness. In Proceedings of the 2009 Spring Simulation Multiconference, SpringSim 7809, pages 48:1-48:7, San Diego, CA, USA. Society for Computer Simulation International.
  21. Siegfried, R., Van Den Berg, T., Cramp, A., and Huiskamp, W. (2014). M&S as a service: Expectations and challenges. pages 248-257. SISO - Simulation Interoperability Standards Organization.
  22. Sliman, L., Charroux, B., and Stroppa, Y. (2013). A new collaborative and cloud based simulation as a service platform: Towards a multidisciplinary research simulation support. pages 611-616, Cambridge.
  23. Taylor, S., Kiss, T., Terstyanszky, G., Kacsuk, P., and Fantini, N. (2014a). Cloud computing for simulation in manufacturing and engineering: Introducing the CloudSME simulation platform. volume 46, pages 89-96, Tampa, FL. The Society for Modeling and Simulation International.
  24. Taylor, S. J. E., Anagnostou, A., Kiss, T., Terstyanszky, G., Kacsuk, P., and Fantini, N. (2014b). A Tutorial on Cloud Computing for Agent-based Modeling & Simulation with Repast. In Proceedings of the 2014 Winter Simulation Conference, WSC 7814, pages 192-206, Piscataway, NJ, USA. IEEE Press.
  25. Tolk, A. and Diallo, S. Y. (2010). Using a Formal Approach to Simulation Interoperability to Specify Languages for Ambassador Agents. In Proceedings of the Winter Simulation Conference, WSC 7810, pages 359-370. Winter Simulation Conference.
  26. Tolk, A., Diallo, S. Y., Padilla, J. J., and Herencia-Zapana, H. (2011). Model Theoretic Implications for Agent Languages in Support of Interoperability and Composability. In Proceedings of the Winter Simulation Conference, WSC 7811, pages 309-320. Winter Simulation Conference.
  27. Tsai, W.-T., Li, W., Sarjoughian, H., and Shao, Q. (2011). SimSaaS: Simulation Software-as-a-service. In Proceedings of the 44th Annual Simulation Symposium, ANSS 7811, pages 77-86, San Diego, CA, USA. Society for Computer Simulation International.
  28. vom Brocke, J., Simons, A., Niehaves, B., Riemer, K., Plattfaut, R., and Cleven, A. (2009). Reconstructing the Giant: On the Importance of Rigour in Documenting the Literature Search Process. In Proceedings of the 17th European Conference on Information Systems, Verona, Italy.
  29. Wang, S. and Wainer, G. (2014). Semantic Mashups for Simulation As a Service with Tag Mining and Ontology Learning. In Proceedings of the Symposium on Theory of Modeling & Simulation - DEVS Integrative, DEVS 7814, pages 25:1-25:8, San Diego, CA, USA. Society for Computer Simulation International.
  30. Wang, S. and Wainer, G. (2015). A Simulation As a Service Methodology with Application for Crowd Modeling, Simulation and Visualization. Simulation, 91(1):71- 95.
  31. Wang, W., Yu, W., Li, Q., Wang, W., and Liu, X. (2008). Service-oriented High Level Architecture. In Proceedings of the 2008 Summer Computer Simulation Conference, SCSC 7808, pages 16:1-16:12, Vista, CA. Society for Modeling & Simulation International.
  32. Xie, Y., Teo, Y. M., Cai, W., and Turner, S. J. (2005). Servicing Provisioning for HLA-Based Distributed Simulation on the Grid. In Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation, PADS 7805, pages 282-291, Washington, DC, USA. IEEE Computer Society.
  33. Yilmaz, L., O ren, T., and Aghaee, N.-G. (2006). Intelligent agents, simulation, and gaming. Simulation & Gaming, 37(3):339-349.
  34. Yilmaz, L. and O ren, T. I. (2007). Agent-directed simulation systems engineering. In Proceedings of the 2007 Summer Computer Simulation Conference, pages 897-904. Society for Computer Simulation International.
  35. Yilmaz, L., Taylor, S. J. E., Fujimoto, R., and Darema, F. (2014). Panel: The Future of Research in Modeling & Simulation. In Proceedings of the 2014 Winter Simulation Conference, WSC 7814, pages 2797-2811, Piscataway, NJ, USA. IEEE Press.
Download


Paper Citation


in Harvard Style

Azevedo T., J. F. Rossetti R. and G. Barbosa J. (2015). Densifying the Sparse Cloud SimSaaS: The need of a Synergy among Agent-directed Simulation, SimSaaS and HLA . In Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-120-5, pages 172-177. DOI: 10.5220/0005542801720177


in Bibtex Style

@conference{simultech15,
author={Tiago Azevedo and Rosaldo J. F. Rossetti and Jorge G. Barbosa},
title={Densifying the Sparse Cloud SimSaaS: The need of a Synergy among Agent-directed Simulation, SimSaaS and HLA},
booktitle={Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2015},
pages={172-177},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005542801720177},
isbn={978-989-758-120-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Densifying the Sparse Cloud SimSaaS: The need of a Synergy among Agent-directed Simulation, SimSaaS and HLA
SN - 978-989-758-120-5
AU - Azevedo T.
AU - J. F. Rossetti R.
AU - G. Barbosa J.
PY - 2015
SP - 172
EP - 177
DO - 10.5220/0005542801720177