Abstract
Metascheduling is a key functionality of the grid middleware in order to achieve a reasonable degree of performance and reliability, given the changing conditions of the computing environment. In this contribution a comparative analysis between two major grid scheduling philosophies is shown: a semi-centralized approach, represented by the EGEE Workload Management System, and a fully distributed approach, represented by the GridWay Metascheduler. This comparative is both theoretical, through a functionality checklist, and experimental, through the execution of a fusion plasma application on the EGEE infrastructure.
This research was supported by Consejería de Educación de la Comunidad de Madrid, Fondo Europeo de Desarrollo Regional (FEDER) and Fondo Social Europeo (FSE), through BIOGRIDNET Research Program S-0505/TIC/000101, and by Ministerio de Educación y Ciencia, through the research grant TIC2003-01321. The authors participate in the EGEE project, funded by the European Union.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11914952_55.
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References
Yu, J., Buyya, R.: A Taxonomy of Workflow Management Systems for Grid Computing. Journal of Grid Computing 3, 171–200 (2005)
Buyya, R., Abramson, D., Giddy, J.: Nimrod/G: An Architecture for a Resource Management and Scheduling System in a Global Computational Grid. In: Fourth International Conference on High-Performance Computing in the Asia-Pacific Region, vol. 1, p. 283 (2000)
Frey, J., Tannenbaum, T., Livny, M., Foster, I., Tuecke, S.: Condor-G: A Computation Management Agent for Multi-Institutional Grids. In: HPDC 2001: Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing (HPDC-10 2001), p. 55. IEEE Computer Society, Los Alamitos (2001)
Dail, H., Sievert, O., Berman, F., Casanova, H., YarKhan, A., Vadhiyar, S., Dongarra, J., Liu, C., Yang, L., Angulo, D., Foster, I.: Scheduling in the Grid Application Development Software Project. In: Grid resource management: state of the art and future trends, pp. 73–98. Kluwer Academic Publishers, Dordrecht (2004)
Berman, F., Wolski, R., Casanova, H., Cirne, W., Dail, H., Faerman, M., Figueira, S., Hayes, J., Obertelli, G., Schopf, J., Shao, G., Smallen, S., Spring, N., Su, A., Zagorodnov, D.: Adaptive Computing on the Grid Using AppLeS. IEEE Transactions on Parallel and Distributed Systems 14, 369–382 (2003)
Huedo, E., Montero, R.S., Llorente, I.M.: A Framework for Adaptive Execution on Grids. Intl. J. Software – Practice and Experience (SPE) 34, 631–651 (2004)
Vázquez-Poletti, J., Montero, R.S., Llorente, I.M.: Coordinated Harnessing of the IRISGrid and EGEE Testbeds with GridWay. Journal of Parallel and Distributed Computing 66, 763–771 (2006)
Llorente, I.M., Montero, R.S., Huedo, E.: A Loosely Coupled Vision for Computational Grids. IEEE Distributed Systems Online 6 (2005)
Campana, S., Litmaath, M., Sciaba, A.: LCG-2 Middleware Overview (2004), available at: https://edms.cern.ch/document/498079/0.1
Huedo, E., Montero, R.S., Llorente, I.M.: Coordinated use of globus pre-WS and WS resource management services with gridway. In: Meersman, R., Tari, Z., Herrero, P. (eds.) OTM-WS 2005. LNCS, vol. 3762, pp. 234–243. Springer, Heidelberg (2005)
Avellino, G., Beco, S., Cantalupo, B., et al.: The DataGrid Workload Management System: Challenges and Results. Journal of Grid Computing 2, 353–367 (2004)
Morajko, A., Fernández, E., Fernández, A., Heymann, E., Senar, M.Á.: Workflow management in the crossGrid project. In: Sloot, P.M.A., Hoekstra, A.G., Priol, T., Reinefeld, A., Bubak, M. (eds.) EGC 2005. LNCS, vol. 3470, pp. 424–433. Springer, Heidelberg (2005)
Huedo, E., Montero, R.S., Llorente, I.M.: Evaluating the Reliability of Computational Grids from the End User’s Point of View. Journal of Systems Architecture (in press, 2006)
Herrera, J., Montero, R., Huedo, E., Llorente, I.: DRMAA Implementation within the GridWay Framework. In: Workshop on Grid Application Programming Interfaces, 12th Global Grid Forum (GGF12) (2004)
Castejon, F., Tereshcenko, M.A., et al.: Electron Bernstein Wave Heating Calculations for TJ-II Plasmas. American Nuclear Society 46, 327–334 (2004)
Huedo, E., Montero, R.S., Llorente, I.M.: An evaluation methodology for computational grids. In: Yang, L.T., Rana, O.F., Di Martino, B., Dongarra, J. (eds.) HPCC 2005. LNCS, vol. 3726, pp. 499–504. Springer, Heidelberg (2005)
Montero, R.S., Huedo, E., Llorente, I.M.: Benchmarking of High Throughput Computing Applications on Grids. Parallel Computing (in press, 2006)
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Vázquez-Poletti, J.L., Huedo, E., Montero, R.S., Llorente, I.M. (2006). A Comparative Analysis Between EGEE and GridWay Workload Management Systems. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE. OTM 2006. Lecture Notes in Computer Science, vol 4276. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11914952_5
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