LURR as a Grid Service

Abstract:

Load-Unload Response Ratio (LURR) is one of the parallel applications for seismological analysis and requires large amount of computation resources for simulation. In order to accelerate the LURR calculation and optimize the resource allocation, this paper presents a REST style Web Service LURR-Grid. Based on Globus Toolkit, AIS and MyProxy, LURR-Grid is able to accept LURR job request and conduct LURR calculation tasks on Grid Resources. Using MDS in Globus for resources and GRAM5 for job execution engine, LURR-Grid schedule the task using the SED algorithm. The Experiments proves the LURR-Grid is scalable and efficient in resource allocation.

• Periodical: Applied Mechanics and Materials (Volumes 155-156)
• Pages: 940-944
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.155-156.940
• Online since: February 2012
• Authors: Feng Liang, Hao Ming Guo, Sheng Wei Yi, Shi Long Ma
• Keywords: Grid Service, LURR, Rest

References

[1] Baldonado, M., Chang, C. -C.K., Gravano, L., Paepcke, A.: The Stanford Digital Library Metadata Architecture. Int. J. Digit. Libr. 1 (1997) 108–121.

DOI: 10.1007/s007990050008

[2] Bruce, K.B., Cardelli, L., Pierce, B.C.: Comparing Object Encodings. In: Abadi, M., Ito, T. (eds. ): Theoretical Aspects of Computer Software. Lecture Notes in Computer Science, Vol. 1281. Springer-Verlag, Berlin Heidelberg New York (1997).

DOI: 10.1007/bfb0014561

[3] van Leeuwen, J. (ed. ): Computer Science Today. Recent Trends and Developments. Lecture Notes in Computer Science, Vol. 1000. Springer-Verlag, Berlin Heidelberg New York (1995).

[4] Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Programs. 3rd edn. Springer-Verlag, Berlin Heidelberg New York (1996).

[5] X.C. Yin, Y.C. Wang, K.Y. Peng, Y.L. Bai, H.T. Wang and X.F. Yin Development of a New Approach to Earthquake Prediction: Load/Unload Response Ratio (LURR) Theory. Pure and Applied Geophysics[J]. 2000. 157(11): 2365-2383.

DOI: 10.1007/pl00001088

[6] C. S. department in University of Wisconsin. Condor, 2010. http: /www. cs. wisc. edu/condor.

[7] J. Frey, T. Tannenbaum, M. Livny, et al. Condor-g: A Computation Management Agent for Multi-institutional Grids[J]. High-Performance Distributed Computing, International Symposium on, 2002, 1: 0055.

DOI: 10.1109/hpdc.2001.945176

[8] C. S. department in University of Wisconsin. Condor-G, 2010. http: /www. cs. wisc. edu/condor/ condorg.

[9] B. Schuller, M. Schumacher. Space-Based Approach to High-throughput Computations in Unicore 6 Grids[C]/Euro-Par 2008 Workshops - Parallel Processing, VHPC 2008, UNICORE 2008, HPPC 2008, SGS 2008, PROPER 2008, ROIA 2008, and DPA 2008, Las Palmas de Gran Canaria, Spain, August 25-26, 2008, Revised Selected Papers. Springer, 2009, 5415: 75–83.

DOI: 10.1007/978-3-642-00955-6_10

[10] UNICORE Group. The Project Unicore Plus Web Page. http: /www. kfa-juelich. de/zam/RD/ coop/unicoreplus.

[11] A. Anjomshoaa, F. Brisard, M. Drescher, et al. Job Submission Description Language (JSDL) Specification, Version 1. 0, 2008. http: /www. gridforum. org/documents/GFD. 136. pdf.

[12] Enabling Grids for E-sciencE project. gLite: a Lightweight Middleware for Grid Computing. http: /glite. web. cern. ch/glite.

[13] E. Laure, C. Gr, S. Fisher, et al. Programming the Grid with Glite[C]/Computational Methods in Science and Technology. 2006: (2006).

[14] A. Luckow, B. Schnor. Migol: A Fault-tolerant Service Framework for Mpi Applications in the Grid[J]. Future Generation Computer Systems – The International Journal of Grid Computing, 2008, 24(2): 142–152.

DOI: 10.1016/j.future.2007.03.007

[15] Bettina Schnor and M. Gehrke. Dynamic-sed for load balancing of parallel applications in heterogeneous systems. In Hamid R. Arabnia, editor, Proceedings of the International Conference on Parallel and Distributed Processing.