COMMUNITY CLUSTER OR COMMUNITY CLOUD? - Utilizing our Own Bare-metal

Xin Fan, Yusuke Wada, Shigeru Kusakabe

2011

Abstract

The increasing availability of cloud computing technologies enables us to have an option we had not before: using private cloud as well as using public cloud. In this paper, we report our ongoing work on examining effectiveness of private cloud computing in an academic setting. Many researchers have examined the relative computational performance of commercially available public cloud computing offerings using HPC application benchmarks. As one of the driving forces in using cloud technologies is cost effectiveness, some researchers have examined public cloud offerings and their HPC environment, a community cluster, from a view point of cost-performance. Part of the conclusions indicates their community cluster may be favorable for typical community members. Due to the similar grounds of community cluster, we expect private (or community) cloud is promising in academic settings. Academic community members may also have interest in utilization of their resources with a configuration of less constraints compared to public cloud offerings while receiving benefit of cloud technologies. In this paper, we discuss the situation we are managing a number of bare-metals and we are deciding whether we configure the computing resource as a cluster of bare-metal nodes or as a cluster of virtual machines by using cloud computing technologies. According to our preliminary evaluation results, while we can easily reinstall and change the software framework on clusters in our private cloud, we must be ready for occurrence of unexpectedly severe performance degradation.

References

  1. Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., and Zaharia, M. (2009). Above the clouds: A berkeley view of cloud computing. Technical report, UCB/EECS-2009-28, Reliable Adaptive Distributed Systems Laboratory.
  2. Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., and Zaharia, M. (2009). Above the clouds: A berkeley view of cloud computing. Technical report, UCB/EECS-2009-28, Reliable Adaptive Distributed Systems Laboratory.
  3. Carlyle, A. G., Harrell, S. L., Smith, P. M., and Center, R. (2010). Cost-effective hpc: The community ot the cloud? 2nd IEEE International Conference on Cloud Computing Technology and Science, pages 169-176.
  4. Carlyle, A. G., Harrell, S. L., Smith, P. M., and Center, R. (2010). Cost-effective hpc: The community ot the cloud? 2nd IEEE International Conference on Cloud Computing Technology and Science, pages 169-176.
  5. Hadoop (-). As of Feb.1, 11.
  6. Hadoop (-). As of Feb.1, 11.
  7. Jackson, K. R., Ramakrishnan, L., Muriki, K., Canon, S., Cholia, S., Shalf, J., Wasserman, H. J., and Wright, N. J. (2010). Performance analysis of high performance computing applications on the amazon web services cloud. In 2nd IEEE International Conference on Cloud Computing Technology and Science.
  8. Jackson, K. R., Ramakrishnan, L., Muriki, K., Canon, S., Cholia, S., Shalf, J., Wasserman, H. J., and Wright, N. J. (2010). Performance analysis of high performance computing applications on the amazon web services cloud. In 2nd IEEE International Conference on Cloud Computing Technology and Science.
  9. Kanayama, H., Tagami, D., and Chiba, M. (2005). Stationary incompressible viscous flow analysis by a domain decomposition method. Domain Decomposition Methods in Science and Engineering XVI, pages 611- 618.
  10. Kanayama, H., Tagami, D., and Chiba, M. (2005). Stationary incompressible viscous flow analysis by a domain decomposition method. Domain Decomposition Methods in Science and Engineering XVI, pages 611- 618.
Download


Paper Citation


in Harvard Style

Fan X., Wada Y. and Kusakabe S. (2011). COMMUNITY CLUSTER OR COMMUNITY CLOUD? - Utilizing our Own Bare-metal . In Proceedings of the 1st International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-8425-52-2, pages 127-130. DOI: 10.5220/0003450501270130


in Harvard Style

Fan X., Wada Y. and Kusakabe S. (2011). COMMUNITY CLUSTER OR COMMUNITY CLOUD? - Utilizing our Own Bare-metal . In Proceedings of the 1st International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-8425-52-2, pages 127-130. DOI: 10.5220/0003450501270130


in Bibtex Style

@conference{closer11,
author={Xin Fan and Yusuke Wada and Shigeru Kusakabe},
title={COMMUNITY CLUSTER OR COMMUNITY CLOUD? - Utilizing our Own Bare-metal},
booktitle={Proceedings of the 1st International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2011},
pages={127-130},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003450501270130},
isbn={978-989-8425-52-2},
}


in Bibtex Style

@conference{closer11,
author={Xin Fan and Yusuke Wada and Shigeru Kusakabe},
title={COMMUNITY CLUSTER OR COMMUNITY CLOUD? - Utilizing our Own Bare-metal},
booktitle={Proceedings of the 1st International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2011},
pages={127-130},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003450501270130},
isbn={978-989-8425-52-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - COMMUNITY CLUSTER OR COMMUNITY CLOUD? - Utilizing our Own Bare-metal
SN - 978-989-8425-52-2
AU - Fan X.
AU - Wada Y.
AU - Kusakabe S.
PY - 2011
SP - 127
EP - 130
DO - 10.5220/0003450501270130


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - COMMUNITY CLUSTER OR COMMUNITY CLOUD? - Utilizing our Own Bare-metal
SN - 978-989-8425-52-2
AU - Fan X.
AU - Wada Y.
AU - Kusakabe S.
PY - 2011
SP - 127
EP - 130
DO - 10.5220/0003450501270130