Abstract
A desktop grid system is one of the most common types of distributed systems. The distinctive features of a desktop grid system are the high heterogeneity and unreliability of computing nodes. Desktop grid systems deployed on the BOINC platform are considered. To simulate the functioning of the desktop grid, a modified ComBos simulator based on SimGrid is used. The ComBos simulator adds support for applications with a limited number of tasks, asynchronous execution of multiple applications and various computing resources. Data from existing voluntary distributed computing projects were used to simulate the functioning of the desktop grid. The paper deals with the modification of scheduling system for a desktop grid. Algorithms FS, FCFS, SRPT, and SWRPT were selected from existing heuristic algorithms for comparison. Two heuristic algorithms for scheduling MSF and MPSF tasks were proposed. A simulation of the desktop grid was performed based on data from existing voluntary distributed computing projects. The simulation took into account asynchronous execution of five different computing applications on several types of computing resources. A comparative analysis of the results of various scheduling algorithms in the desktop grid is carried out. Analysis of the results showed that the proposed MPSF algorithm shows the best results from the compared algorithms. The proposed heuristic scheduling algorithm can be applied to umbrella distributed computing projects and to desktop grid in general.
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References
Foster, I., Kesselman, C.: The grid 2: blueprint for a new computing infrastructure (2004)
Choi, S.J., et al.: Characterizing and classifying desktop grid. In: Proceedings - Seventh IEEE International Symposium on Cluster Computing and the Grid, CCGrid 2007 (2007). https://doi.org/10.1109/ccgrid.2007.31
Anderson, D.P.: BOINC: a platform for volunteer computing. J. Grid Comput. 18(1), 99–122 (2019). https://doi.org/10.1007/s10723-019-09497-9
Cappello, F., et al.: Computing on large-scale distributed systems: XtremWeb architecture, programming models, security, tests and convergence with grid. Future Gener. Comput. Syst. (2005). https://doi.org/10.1016/j.future.2004.04.011
Choosing BOINC projects. https://boinc.berkeley.edu/projects.php. Accessed 15 Sept 2020
Project stats info. BOINCstats. https://boincstats.com/en/stats/projectStatsInfo. Accessed 15 Sept 2020
Sarmenta, L.F.G., Hirano, S.: Bayanihan: building and studying web-based volunteer computing systems using Java. Future Gener. Comput. Syst. (1999). https://doi.org/10.1016/S0167-739X(99)00018-7
Oprescu, A.M., Kielmann, T.: Bag-of-tasks scheduling under budget constraints. In: Proceedings - 2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010 (2010). https://doi.org/10.1109/cloudcom.2010.32
Alonso-Monsalve, S., GarcÃa-Carballeira, F., Calderón, A.: ComBos: a complete simulator of volunteer computing and desktop grids. Simul. Model. Pract. Theory (2017). https://doi.org/10.1016/j.simpat.2017.06.002
Legrand, A., Marchal, L., Casanova, H.: Scheduling distributed applications: the SimGrid simulation framework. In: Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid (2003). https://doi.org/10.1109/ccgrid.2003.1199362
Hartmanis, J.: Computers and Intractability: a guide to the theory of np-completeness (Michael R. Garey and David S. Johnson). SIAM Rev. (1982). https://doi.org/10.1137/1024022
Braun, T.D., et al.: A comparison of eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems. J. Parallel Distrib. Comput. (2001). https://doi.org/10.1006/jpdc.2000.1714
Estrada, T., Flores, D.A., Taufer, M., Teller, P.J., Kerstens, A., Anderson, D.P.: The effectiveness of threshold-based scheduling policies in BOINC projects. In: e-Science 2006 - Second IEEE International Conference on e-Science and Grid Computing (2006). https://doi.org/10.1109/e-science.2006.261172
Silberstein, M., Sharov, A., Geiger, D., Schuster, A.: GridBot: execution of bags of tasks in multiple grids. In: Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, SC 2009 (2009). https://doi.org/10.1145/1654059.1654071
George Amalarethinam, D.I., Maria Josphin, A.: Dynamic task scheduling methods in heterogeneous systems: a survey. Int. J. Comput. Appl. (2015). https://doi.org/10.5120/19318-0859
Legrand, A., Su, A., Vivien, F.: Minimizing the stretch when scheduling flows of divisible requests. J. Sched. (2008). https://doi.org/10.1007/s10951-008-0078-4
Anglano, C., Canonico, M.: Scheduling algorithms for multiple bag-of-task applications on Desktop Grids: A knowledge-free approach. In: IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM (2008). https://doi.org/10.1109/ipdps.2008.4536445
Korpela, E., Werthimer, D., Anderson, D., Cobb, J., Lebofsky, M.: SETI@HOME - Massively distributed computing for SETI. Comput. Sci. Eng. (2001). https://doi.org/10.1109/5992.895191
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This work was funded by RFBR according to the research projects No. 18-29-03264 and No. 19-07-00802.
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Kurochkin, I., Kondrashov, N. (2020). Comparison of Various Algorithms for Scheduling Tasks in a Desktop Grid System Using a ComBos Simulator. In: Jordan, V., Filimonov, N., Tarasov, I., Faerman, V. (eds) High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production. HPCST 2020. Communications in Computer and Information Science, vol 1304. Springer, Cham. https://doi.org/10.1007/978-3-030-66895-2_3
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