Application Plugins for Distributed Simulations on the Grid
AbstractComputing grids are today still underexploited by scientific computing communities. The main reasons for this are, on the one hand, the complexity and variety of tools and services existent in the grid middleware ecosystem, and, on the other hand, the complexity of the development of applications capable to exploit the grids. We address in this work the challenge of developing grid applications that keep pace with the rapid evolution of grid middleware. For that, we propose an approach based on plugins for grid applications that encapsulate a set of commonly used type of grid operations. We further propose more complex high-level functionalities, such as the plugins for remote exploration of simulation scenarios and for monitoring of the behavior of end-user applications in grids. We provide an example of a grid application constructed with these software components and evaluate based on it the performance of our approach in the context of the simulation of biological neurons. The results obtained on test and production grids demonstrate the usefulness of the proposed plugins, with a small performance overhead compared to traditional grid tools.
 G. Allen, K. Davis, T. Goodale, A. Hutanu, H. Kaiser, T. Kielmann, A. Merzky, R. van Nieuwpoort, A. Reinefeld, F. Schintke, T. Schott, E. Seidel, and B. Ullmer. The grid application toolkit: Toward generic and easy application programming interfaces for the grid. Proceedings of the IEEE, 93:534–550, March 2005.
 ARC. Advanced resource connector resources. http://www.nordugrid.org/arc, 2010.
 S. Burke, S. Andreozzi, and L. Field. Experiences with the GLUE information schema in the LCG/EGEE production grid. Journal of Physics: Conference Series, 119, 2008.
 E. Clayberg and R. Dan. Eclipse: Building Commercial- Quality Plug-ins (2nd Edition). Addison-Wesley Professional, 2006.
 L. Clementi, M. Rambadt, R. Menday, and J. Reetz. UNICORE deployment within the DEISA supercomputing grid infrastructure. In W. Lehner, N. Meyer, A. Streit, and C. Stewart, editors, Euro-Par Workshops, volume 4375 of LNCS, pages 264–273. Springer, 2006.
 EGI. Unified middleware distribution. Technical report, EGI, 2009.
 EGI. European Grid Infrastructure resources. http://ww.egi.eu, 2010.
 I. Foster and C. Kesselman. Globus: A metacomputing infrastructure toolkit. Intl J. Supercomputer Applications, 11(2):115–128, 1997.
 gLite. Lightweight middleware for grid computing. http://glite.web.cern.ch/glite, 2010.
 T. Goodale, S. Jha, H. Kaiser, T. Kielmann, P. Kleijer, G. von Laszewski, C. Lee, A. Merzky, H. Rajic, and J. Shalf. SAGA: A simple api for grid applications. high-level application programming on the grid. Computational Methods in Science and Technology, 12(1):7–20, 2006.
 IGE. Initiative for Globus in Europe. http://www.ige-project.eu, 2010.
 G. Kandaswamy, L. Fang, Y. Huang, S. Shirasuna, S. Marru, and D. Gannon. Building web services for scientific grid applications. IBM J. Res. Dev., 50(2/3):249–260, 2006.
 H. Kornmayer, M. Stümpert, H. Gjermundrød, and P. Wolniewicz. g-Eclipse – a contextualised framework for grid users, grid resource providers and grid application developers. In M. Bubak et al., editors, Computational Science – ICCS 2008, volume 5103 of LNCS, pages 399–408. Springer, 2008.
 I.L. Muntean. Efficient Distributed Numerical Simulation on the Grid. PhD thesis, Institut für Informatik, Technische Universität München, 2008.
 I.L. Muntean. Plugins for numerical simulation with GridSFEA on computing grid. In Procs. of the 8th Intl. RoEduNet Conference Galati, pages 51–56, 2009.
 R.C. Muresan and I. Ignat. The Neocortex neural simulator, a modern design. In International Conference on Intelligent Engeneering Systems, 2004.
 Open Grid Forum. Job submission description language resources. http://www.gridforum.org/documents/GFD.56.pdf, 2010.
 S. Parastatidis, J. Webber, P. Watson, and T. Rischbeck. WS-GAF: a framework for building grid applications using web services: Research articles. Concurrency Computat.:Pract. Exper., 17(2-4):391–417, 2005.
 M. Riedel and et al. Interoperation of world-wide production e-science infrastructures. Concurr. Comput.: Pract. Exper., 21:961–990, 2009.
 M. Surridge, S. Taylor, D. De Roure, and E. Zaluska. Experiences with GRIA — industrial applications on a web services grid. In E-SCIENCE '05: Proceedings of the First International Conference on e-Science and Grid Computing, pages 98–105, Washington, DC, USA, 2005. IEEE Computer Society.
 S. Venugopal, R. Buyya, and L. Winton. A grid service broker for scheduling distributed data-oriented applications on global grids. In MGC '04: Proceedings of the 2nd workshop on Middleware for grid computing, pages 75–80, New York, NY, USA, 2004. ACM.
 G. von Laszewski and M. Hategan. Workflow concepts of the Java CoG Kit. J. Grid Computing, 3(3-4):239–258, 2005.a
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
ONLINE OPEN ACCES: Acces to full text of each article and each issue are allowed for free in respect of Attribution-NonCommercial 4.0 International (CC BY-NC 4.0.
You are free to:
-Share: copy and redistribute the material in any medium or format;
-Adapt: remix, transform, and build upon the material.
The licensor cannot revoke these freedoms as long as you follow the license terms.
DISCLAIMER: The author(s) of each article appearing in International Journal of Computers Communications & Control is/are solely responsible for the content thereof; the publication of an article shall not constitute or be deemed to constitute any representation by the Editors or Agora University Press that the data presented therein are original, correct or sufficient to support the conclusions reached or that the experiment design or methodology is adequate.