ENTERPRISE NETWORK REDESIGN THROUGH SERVER CONSOLIDATION

Abeer Al-Fadhel, Paulvanna N. Marimuthu, Sami J. Habib

2012

Abstract

In this paper, we have explored the utilization of existing servers within an enterprise information network (EIN), and we have proposed redesign operations on servers to identify and remove the low-utilized servers. The low-utilized servers consume unnecessary power and increase the operational and maintenance cost. The removal of low-utilized server is viewed as an EIN redesign problem, which removes the low-utilized servers within the EIN and re-distributes the clients of the purged servers to the remaining servers, thereby reducing a portion of expenditure on maintenance and operation. We have proposed three approaches on distributing the clients of removed servers and the approaches are; single server pure random distribution, selective distribution and multiple servers pure random distribution. We have employed Simulated Annealing to search for best possible random server/servers in order to distribute the workload of the removed server, thereby improving the utilization of the remaining servers. The simulation results for a given EIN with 10 servers and 25 clusters show that our proposed server consolidation approaches improve the initial average server utilization of around 25% to 60%, 68.5%, and 90% respectively in the proposed three methods.

References

  1. Abdulgafer, A. R., Marimuthu P. N. and Habib, S. J. 2010. Redesign of Grid-Based Enterprise Information Network through Servers Consolidation, In the Proceedings of the 5th International Conference of Computer Sciences and Convergence Information Technology, Nov 30th to Dec 2nd, Seoul, South Korea.
  2. Abdulgafer, A. R., Marimuthu P. N. and Habib, S. J. 2009. Network Redesign through Servers Consolidation, In the Proceedings of the 11th International Conference for Information Integration and Web-based Application and Services, December 14-16, Kuala Lumpur, Malaysia.
  3. Anselmi, J., Cremonesi, P., and Amaldi, E. 2009. On the Consolidation of Data-Centers with Performance Constraints, In the Proceedings of the 5th International Conference on the Quality of Software Architectures: Architectures for Adaptive Software Systems, East Stroudsburg, PA, USA.
  4. Cardosa, M., Korupolu, M., & Singh, A. 2009. Shares and Utilities based Power Consolidation in Virtualized Server Environments. IFIP/IEEE International Symposium on Integrated Network Management, Long Island, New York- USA, pp. 327-334.
  5. Dhyani, K., Gualandi, & Cremonesi, P. 2010. A Constraint Programming Approach for the Service Consolidation Problem. The International Conference on Integration of AI and OR Techniques in Constraint Programming, pp. 97-101, Bologna, Italy: SpringerLink.
  6. Frantzeskakis, L. F., and Luss, H. 1999. The Network Redesign Problem for Access Telecommunications Networks, Naval Research Logistics, Wiley, New York, vol. 46, pp. 487-506.
  7. Gupta, R., Bose, S. K., Sundarrajan, S., Chebiyam, M., and Chakrabarti, A. 2008. A Two Stage Heuristic Algorithm for Solving the Server Consolidation Problem with Item-Item and Bin-Item Incompatibility Constraints, In the proceedings of IEEE International Conference on Services Computing, Honolulu, Hawaii, USA, pp. 39-46.
  8. Jerger, N., Vantrease, D., & Lipasti, M. 2007. An Evaluation of Server Consolidation Workloads for Multi-core Designs. The IEEE 10th International Symposium on Workload Characterization, Boston, Massachusetts, USA, pp. 47 - 56.
  9. Kokkinos, P. Christodoulopoulos, K., Kretsis, A., and Varvarigos, E. 2008. Data Consolidation: A Task Scheduling and Data Migration Technique for Grid Networks, In the Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid, Lyon, France, pp. 722 - 727.
  10. Kirkpatrick, S., Gelatt, C. D., and Vecchi, M. P. 1983. Optimization by Simulated Annealing, Science, vol. 220, pp. 671-680.
  11. Marty, M. R., and Hill, M. D. 2007. Virtual Hierarchies to Support Server Consolidation, In the Proceedings of the 34th Annual International Symposium on Computer Architecture (ISCA), San Diego, California, USA.
  12. Short, J. E., Bohn, R. E., and Baru, C. 2011. How Much Information, 2010 Report on Enterprise Server Information, Published on April 2011: http://hmi.ucsd. edu/pdf/HMI_2010_EnterpriseReport_Jan_2011.pdf Speitkamp, P. B., and Bichler, M. 2010. A Mathematical Programming Approach for Server Consolidation Problems in Virtualized Data Centers, IEEE Transactions on Services Computing, vol. 3, no. 4, pp. 266-278.
  13. Spellman, A., Erickson, K., and Reynolds, J. 2003. Server Consolidation Using Performance Modelling, IT Professional, vol. 5, pp. 31-36.
  14. Uddin, M., and Abdul Rahman, A. 2010. Server Consolidation: An Approach to Make Data Centers Energy Efficient & Green, International Journal of Scientific & Engineering Research, vol. 1, pp. 1-7.
Download


Paper Citation


in Harvard Style

Al-Fadhel A., N. Marimuthu P. and J. Habib S. (2012). ENTERPRISE NETWORK REDESIGN THROUGH SERVER CONSOLIDATION . In Proceedings of the 1st International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-8425-97-3, pages 186-191. DOI: 10.5220/0003854201860191


in Bibtex Style

@conference{icores12,
author={Abeer Al-Fadhel and Paulvanna N. Marimuthu and Sami J. Habib},
title={ENTERPRISE NETWORK REDESIGN THROUGH SERVER CONSOLIDATION},
booktitle={Proceedings of the 1st International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2012},
pages={186-191},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003854201860191},
isbn={978-989-8425-97-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - ENTERPRISE NETWORK REDESIGN THROUGH SERVER CONSOLIDATION
SN - 978-989-8425-97-3
AU - Al-Fadhel A.
AU - N. Marimuthu P.
AU - J. Habib S.
PY - 2012
SP - 186
EP - 191
DO - 10.5220/0003854201860191