A Xen-Based Paravirtualization System toward Efficient High Performance Computing Environments

  • Chao-Tung Yang
  • Chien-Hsiang Tseng
  • Keng-Yi Chou
  • Shyh-Chang Tsaur
  • Ching-Hsien Hsu
  • Shih-Chang Chen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6083)


A virtual machine provides platforms to install an OS within another OS which provides resources. It can be accomplished to construct a computational cluster system on a single machine. The real cluster with machines provides full utilization of its resource for users while a virtual machine assigns the resources of the host to residing OSs. Xen is such kind of virtual machine to construct the virtualization system. It is chosen to be our system’s virtual machine monitor because it provides better efficiency, supports different operating system work simultaneously, and gives each operating system an independent system environment. The performance of the virtualization system is examined by comparing with a non-virtualization system which is a real cluster system. The experiments show less power consumption and better computing efficiency by executing programs such as matrix multiplication, LINPACK, lower-upper triangular and Primes test sets. The results show better choices of constructing a large-scaled computing system using a virtual machine.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Cherkasova, L., Gardner, R.: Measuring CPU Overhead for I/O Processing in the Xen Virtual Machine Monitor. In: Proceedings of the annual conference on USENIX Annual Technical Conference, pp. 387–390. USENIX Press, California (2005)Google Scholar
  2. 2.
    Dong, Y., Li, S., Mallick, A., Nakajima, J., Tian, K., Xu, X., Yang, F., Yu, W.: Extending Xen with Intel Virtualization Technology. Intel Technology Journal 10(3), 1–14 (2006)CrossRefGoogle Scholar
  3. 3.
    Huang, W., Liu, J., Abali, B., Panda, D.K.: A Case for High Performance Computing with Virtual Machines. In: Proceedings of the 20th annual international conference on Supercomputing, pp. 125–134. ACM Press, New York (2006)CrossRefGoogle Scholar
  4. 4.
    Liu, J., Huang, W., Abali, B., Panda, D.K.: High Performance VMM-Bypass I/O in Virtual Machines. In: Proceedings of the annual conference on USENIX ’06 Annual Technical Conference, p. 3. USENIX Press, California (2006)Google Scholar
  5. 5.
    Menon, A., Santos, J.R., Turner, Y., Janakiraman, G., Zwaenepoel, W.: Diagnosing Performance Overheads in the Xen Virtual Machine Environment. In: VEE ’05: Proceedings of the 1st ACM/USENIX international conference on Virtual execution environments, pp. 13–23. ACM Press, New York (2005)CrossRefGoogle Scholar
  6. 6.
    Sharifi, M., Hassani, M., Mousavi, S.L.M., Mirtaheri, S.L.: VCE: A New Personated Virtual Cluster Engine for Cluster Computing. In: 3rd IEEE International Conference on Information and Communication Technologies: from Theory to Applications, pp. 7–11 (2008)Google Scholar
  7. 7.
    Smith, J.E., Nair, R.: The Architecture of Virtual Machines. Computer 38(5), 32–38 (2005)CrossRefGoogle Scholar
  8. 8.
    Barham, P., Dragovic, B., Fraser, K., Hand, S., Harris, T., Ho, A., Neugebauer, R., Pratt, I., Warfield, A.: Xen and the Art of Virtualization. In: Proceedings of the nineteenth ACM symposium on Operating systems principles, pp. 164–177. ACM Press, New York (2003)CrossRefGoogle Scholar
  9. 9.
    Emeneker, W., Jackson, D., Butikofer, J., Stanzione, D.: Dynamic Virtual Clustering with Xen and Moab. In: Min, G., Di Martino, B., Yang, L.T., Guo, M., Rünger, G. (eds.) ISPA Workshops 2006. LNCS, vol. 4331, pp. 440–451. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  10. 10.
    Emeneker, W., Stanzione, D.: HPC Cluster Readiness of Xen and User Mode Linux. In: 2006 IEEE International Conference on Cluster Computing, pp. 1–8. IEEE Press, New York (2006)CrossRefGoogle Scholar
  11. 11.
    Vallee, G., Scott, S.L.: OSCAR Testing with Xen. In: 20th International Symposium on High-Performance Computing in an Advanced Collaborative Environment, p. 43. IEEE Press, New York (2006)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Chao-Tung Yang
    • 1
  • Chien-Hsiang Tseng
    • 1
    • 2
  • Keng-Yi Chou
    • 1
  • Shyh-Chang Tsaur
    • 3
  • Ching-Hsien Hsu
    • 4
  • Shih-Chang Chen
    • 5
  1. 1.High-Performance Computing Laboratory Department of Computer ScienceTunghai UniversityTaichung CityTaiwan, R.O.C.
  2. 2.ARAVision Incorporated, Sindian City, Taipei CountTaiwan, R.O.C.
  3. 3.Department of Electronic EngineeringNational Chin-Yi University of Technology, Taiping CityTaichung CountyTaiwan
  4. 4.Department of Computer Science and Information Engineering 
  5. 5.College of EngineeringChung Hua UniversityHsinchuTaiwan R.O.C.

Personalised recommendations