Abstract
We evaluate how dynamic performance and energy-efficient technologies, as features introduced in modern processor architectures, affect the intrusiveness that Desktop Grids based on virtualization generate on desktops. Such intrusiveness is defined as degradation in the performance perceived by an end-user that is using a desktop while it is opportunistically utilized by Desktop Grid systems. To achieve this, we deploy virtual machines on a selection of desktops representing recent processor architectures. We then benchmark CPU intensive workloads simultaneously executed on both the virtual and the physical environment. The results show that dynamic performance and energy-efficient technologies, when incorporated on the supporting desktops, directly affect the level of intrusiveness an end-user perceives. Furthermore, depending on the processor architecture the intrusiveness percentage varies in a range from 3% to 100%. Finally, we propose policies aimed to minimize such intrusiveness according to the supporting processor architectures to be utilized and end-user profiles.
Keywords
- Desktop Grid
- Grid Computing
- Volunteer Computing
- Benchmarking
- Virtualization
- Intrusiveness
- Performance
This is a preview of subscription content, access via your institution.
Buying options
Preview
Unable to display preview. Download preview PDF.
References
Anderson, D.P., Fedak, G.: The Computational and Storage Potential of Volunteer Computing. In: IEEE International Symposium on Cluster Computing and the Grid, pp. 73–80. IEEE Press, Singapore (2006)
BOINC, http://boinc.berkeley.edu/
Castro, H., Rosales, E., Villamizar, M., Jiménez, A.: UnaGrid: On Demand Opportunistic Desktop Grid. In: Proceedings of the 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, pp. 661–666. IEEE Press, Melbourne (2010)
Distributed.Net, http://www.distributed.net/
Domingues, P., Araujo, F., Silva, L.: Evaluating the Performance and Intrusiveness of Virtual Machines for Desktop Grid Computing. In: Proceedings of the IEEE International Symposium on Parallel & Distributed Processing, pp. 1–8. IEEE Press, Rome (2009)
Intel Turbo Boost Technology in Intel Core Microarchitecture (Nehalem) Based Processors, http://files.shareholder.com/downloads/INTC/0x0x348508/C9259E98-BE06-42C8-A433-E28F64CB8EF2/TurboBoostWhitePaper.pdf
Langer, S.G., French, T.: Virtual Machine Performance Benchmarking. Journal of Digital Imaging 24, 883–889 (2011)
LHC@Home, http://lhcathomeclassic.cern.ch/
O’Neill, M.E.: The Genuine Sieve of Eratosthenes. Journal of Functional Programming 19, 95–106 (2008)
OurGrid, http://www.ourgrid.org/
Rosales, E., Castro, H., Villamizar, M.: UnaCloud: Opportunistic Cloud Computing Infrastructure as a Service. In: Proceedings of the Second International Conference on Cloud Computing, GRIDs, and Virtualization, pp. 187–194. XPS, Rome (2011)
SETI@Home, http://setiathome.ssl.berkeley.edu/
Choi, S., Buyya, R., et al.: A Taxonomy of Desktop Grids and its Mapping to State-of-the-Art Systems. Technical Report, GRIDS-TR-2008-2013, the University of Melbourne, Australia (2008)
SZTAKI, http://szdg.lpds.sztaki.hu/szdg/
Tanaka, K., Uehara, M., Mori, H.: A case study of a Linux Grid on Windows Using Virtual Machines. In: Proceedings of the 22nd International Conference on Advanced Information Networking and Applications, pp. 195–200. IEEE Press, Okinawa (2008)
VMware@Home, https://twiki.cern.ch/twiki/bin/view/EGEE/VMwareAtHome
XtremWeb, http://www.xtremweb.net/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sotelo, G., Rosales, E., Castro, H. (2014). Implications of CPU Dynamic Performance and Energy-Efficient Technologies on the Intrusiveness Generated by Desktop Grids Based on Virtualization. In: , et al. High Performance Computing. CARLA 2014. Communications in Computer and Information Science, vol 485. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45483-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-662-45483-1_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45482-4
Online ISBN: 978-3-662-45483-1
eBook Packages: Computer ScienceComputer Science (R0)