CFP last date
20 May 2024
Reseach Article

Dynamic Reconfigurable Component for Cloud Computing Resources

by Omar Sefraoui, Mohammed Aissaoui, Mohsine Eleuldj
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 88 - Number 7
Year of Publication: 2014
Authors: Omar Sefraoui, Mohammed Aissaoui, Mohsine Eleuldj
10.5120/15361-3890

Omar Sefraoui, Mohammed Aissaoui, Mohsine Eleuldj . Dynamic Reconfigurable Component for Cloud Computing Resources. International Journal of Computer Applications. 88, 7 ( February 2014), 1-5. DOI=10.5120/15361-3890

@article{ 10.5120/15361-3890,
author = { Omar Sefraoui, Mohammed Aissaoui, Mohsine Eleuldj },
title = { Dynamic Reconfigurable Component for Cloud Computing Resources },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 88 },
number = { 7 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume88/number7/15361-3890/ },
doi = { 10.5120/15361-3890 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:06:58.405721+05:30
%A Omar Sefraoui
%A Mohammed Aissaoui
%A Mohsine Eleuldj
%T Dynamic Reconfigurable Component for Cloud Computing Resources
%J International Journal of Computer Applications
%@ 0975-8887
%V 88
%N 7
%P 1-5
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent years a new concept of IT organization emerged, the Cloud Computing. With This new concept, the resources are dynamically scalable, virtualized and provided to users as a service on the Internet. It is primarily intended to meet the demands of users and allow them access to virtually unlimited resources. This model motivates many academic institutions and non-academics as well to develop open-source solutions to improve performance. Among these techniques, dynamic reconfiguration of cloud resources has to take an interest. In this paper an approach for optimization resources is presented, based on dynamic reconfiguration techniques. In fact, a Dynamic Reconfigurable Component (DRC) is proposed to be added to the cloud system, that optimize the use of cloud resources and enable dynamic resource allocation. Then, the implementation of this DRC component is provided.

References
  1. Lutz Schubert, Keith G Jeffery, and Burkard Neidecker- Lutz. The Future of Cloud Computing: Opportunities for European Cloud Computing Beyond 2010:–expert Group Report. European Commission, Information Society and Media, 2010.
  2. Fahimeh Ramezani, Jie Lu, and Farookh Khadeer Hussain. Task-based system load balancing in cloud computing using particle swarm optimization. International Journal of Parallel Programming, pages 1–16, 2013.
  3. Luis M Vaquero, Luis Rodero-Merino, and Daniel Mor´an. Locking the sky: a survey on iaas cloud security. Computing, 91(1):93–118, 2011.
  4. Muhammad Atif and Peter Strazdins. Adaptive parallel application resource remapping through the live migration of virtual machines. Future Generation Computer Systems, 2013.
  5. Amazon elastic compute cloud, [url]. http://aws. amazon. com/, access on Dec. 2013.
  6. Windowsazure Project [url]. http://windowsazure. com. access on Sep. 2012.
  7. Google App Engine. Cloud google. https://cloud. google. com/, access on Dec. 2012.
  8. Patr´ýcia Takako Endo, Glauco Est´acio Gonc¸alves, Judith Kelner, and Djamel Sadok. A survey on open-source cloud computing solutions. In Brazilian Symposium on Computer Networks and Distributed Systems, 2010.
  9. Qi Zhang, Lu Cheng, and Raouf Boutaba. Cloud computing: state-of-the-art and research challenges. Journal of Internet Services and Applications, 1(1):7–18, 2010.
  10. Yuan Yuan Guo, Jing Li, Xin Chun Liu, and Wei Wei Wang. Batch job based auto-scaling system on cloud computing platform. Advanced Materials Research, 756:2386–2390, 2013.
  11. Fahimeh Ramezani, Jie Lu, and Farookh Hussain. An online fuzzy decision support system for resource management in cloud environments. In IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint, pages 754–759. IEEE, 2013.
  12. Hemant Kumar Mehta and Eshan Gupta. Economy based resource allocation in iaas cloud. International Journal of Cloud Applications and Computing (IJCAC), 3(2):1–11, 2013.
  13. Haizea project [url]. http://haizea. cs. uchicago. edu/,access on Sep. 2013.
  14. Sivadon Chaisiri, Bu-Sung Lee, and Dusit Niyato. Optimization of resource provisioning cost in cloud computing. Services Computing, IEEE Transactions on, 5(2):164–177, 2012.
  15. Amit Nathani, Sanjay Chaudhary, and Gaurav Somani. Policy based resource allocation in iaas cloud. Future Generation Computer Systems, 28(1):94–103, 2012.
  16. Pei Han and Qianrang Gong. Optimized live vm migration with eviction-free memory approach. In Proceedings of the 9th International Symposium on Linear Drives for Industry Applications, Volume 1, pages 185–191. Springer, 2014.
  17. Fei Xu, Fangming Liu, Linghui Liu, Hai Jin, and Bo Li. iaware: Making live migration of virtual machines interference-aware in the cloud. 2013.
  18. LD Babu and P Venkata Krishna. Honey bee behavior inspired load balancing of tasks in cloud computing environments. Applied Soft Computing, 2013.
  19. Saurabh Kumar Garg, Steve Versteeg, and Rajkumar Buyya. A framework for ranking of cloud computing services. Future Generation Computer Systems, 29(4):1012–1023, 2013.
  20. Ceilometer measurements. http://docs. openstack. org/developer/ ceilometer/measurements. html.
  21. Openstack project [url]. http://www. opnstack. org/, access on Apr. 2012.
  22. Eucalyptus project [url]. http://www. eucalyptus. com/, access on Sep. 2012.
  23. Cloudstack project [url]. http://cloudstack. org/, access on Dec. 2012.
  24. Opennebula project [url]. http://opennebula. org/, access on Sep. 2012.
  25. Omar Sefraoui, Mohammed Aissaoui, and Mohsine Eleuldj. Openstack: Toward an open-source solution for cloud computing. International Journal of Computer Applications, 55(3):38–42, October 2012. Published by Foundation of Computer Science, New York, USA.
  26. Omar Sefraoui, Mohammed Aissaoui, and Mohsine Eleuldj. Comparison of multiple iaas cloud platform solutions. Proceedings of the 7th WSEAS International Conference on Computer Engineering and Applications, (Milan-CEA 13). ISBN: 978-1-61804-150-0, 2013.
  27. Openstack component: Ceilometer. http://docs. opnstack. com/ceilometer/, access on Apr. 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud computing Dynamic reconfiguration Openstack Dynamic Reconfigurable Component Autoscaling KPI