Abstract
The paper presents Comcute which is a novel multi-level implementation of the volunteer based computing paradigm. Comcute was designed to let users donate the computing power of their PCs in a simplified manner, requiring only pointing their web browser at a specific web address and clicking a mouse. The server side appoints several servers to be in charge of execution of particular tasks. Thanks to that the system can survive failures of individual computers and allow definition of redundancy of desired order. On the client side, computations are executed within web browsers using technologies such as Java, JavaScript, Adobe Flash etc. without the need for installation of additional software. This paper presents results of scalability experiments carried on the Comcute system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Czarnul, P., Grzeda, K.: Parallel simulations of electrophysiological phenomena in myocardium on large 32 and 64-bit linux clusters. In: Kranzlmüller, D., Kacsuk, P., Dongarra, J. (eds.) EuroPVM/MPI 2004. LNCS, vol. 3241, pp. 234–241. Springer, Heidelberg (2004)
Anderson, D.P.: Boinc: a system for public-resource computing and storage. In: Proceedings of 5th IEEE/ACM International Workshop on Grid Computing, Pittsburgh, USA (2004)
Balicki, J., Krawczyk, H., Nawarecki, E. (eds.): Grid and Volunteer Computing. Gdansk University of Technology, Faculty of Electronics, Telecommunication and Informatics Press, Gdansk (2012). ISBN: 978-83-60779-17-0
Kirk, D.B., Hwu, W.W.: Programming Massively Parallel Processors. A Hands-on Approach, 2nd edn. Morgan Kaufmann, San Francisco (2012). ISBN-13: 978–0124159921.
Sanders, J., Kandrot, E.: CUDA by Example: An Introduction to General-Purpose GPU Programming. Addison-Wesley Professional, Reading (2010). ISBN-13: 978–0131387683
Buyya, R. (ed.): High Performance Cluster Computing, Programming and Applications. Prentice Hall, Upper Saddle River (1999)
Wilkinson, B., Allen, M.: Parallel Programming: Techniques and Applications Using Networked Workstations and Parallel Computers. Prentice Hall, Upper Saddle River (1999)
Geist, A., Beguelin, A., Dongarra, J., Jiang, W., Mancheck, R., Sunderam, V.: PVM Parallel Virtual Machine. A Users Guide and Tutorial for Networked Parallel Computing. MIT Press, Cambridge (1994)
Karonis, N.T., Toonen, B., Foster, I.: Mpich-g2: a grid-enabled implementation of the message passing interface. J. Parallel Distrib. Comput. 63, 551–563 (2003). (Special Issue on Computational Grids)
Keller, R., Müller, M.: The Grid-Computing library PACX-MPI: Extending MPI for Computational Grids. www.hlrs.de/organization/amt/projects/pacx-mpi/
Garg, S.K., Buyya, R., Siegel, H.J.: Time and cost trade-off management for scheduling parallel applications on utility grids. Future Gener. Comput. Syst. 26, 1344–1355 (2010)
Chin, S.H., Suh, T., Yu, H.C.: Adaptive service scheduling for workflow applications in service-oriented grid. J. Supercomput. 52, 253–283 (2010)
Yu, J., Buyya, R., Ramamohanarao, K.: Workflow scheduling algorithms for grid computing. In: Xhafa, F., Abraham, A. (eds.) Meta. for Sched. in Distri. Comp. Envi. SCI, vol. 146, pp. 173–214. Springer, Heidelberg (2008)
Czarnul, P.: Integration of compute-intensive tasks into scientific workflows in BeesyCluster, In: Alexandrov, V.N., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2006. LNCS, vol. 3993, pp. 944–947. Springer, Heidelberg (2006)
Cushing, R., Putra, G., Koulouzis, S., Belloum, A., Bubak, M., de Laat, C.: Distributed computing on an ensemble of browsers. IEEE Internet Comput. 17, 54–61 (2013)
Malawski, M., Kuzniar, M., Wojcik, P., Bubak, M.: How to use google app engine for free computing. IEEE Internet Comput. 17, 50–59 (2013)
Nielsen, J.: How long do users stay on web pages? Nielsen Norman Group (2011). http://www.nngroup.com/articles/how-long-do-users-stay-on-web-pages/
Czarnul, P.: Modeling, run-time optimization and execution of distributed workflow applications in the jee-based beesycluster environment. J. Supercomput. 63, 46–71 (2013)
Acknowledgments
The work was performed within grant “Modeling efficiency, reliability and power consumption of multilevel parallel HPC systems using CPUs and GPUs” sponsored by and covered by funds from the National Science Center in Poland based on decision no DEC-2012/07/B/ST6/01516.
We would like to thank W. Korlub for his help in the environment configuration.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Czarnul, P., Kuchta, J., Matuszek, M. (2014). Parallel Computations in the Volunteer–Based Comcute System. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2013. Lecture Notes in Computer Science(), vol 8384. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55224-3_25
Download citation
DOI: https://doi.org/10.1007/978-3-642-55224-3_25
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-55223-6
Online ISBN: 978-3-642-55224-3
eBook Packages: Computer ScienceComputer Science (R0)