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Network Optimization in the Open Stack Cloud

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IJCA Proceedings on International Conference on Internet of Things, Next Generation Networks and Cloud Computing
© 2016 by IJCA Journal
ICINC 2016 - Number 1
Year of Publication: 2016
Authors:
Pramod Gavali
S. P. Pingat

Pramod Gavali and S P Pingat. Article: Network Optimization in the Open Stack Cloud. IJCA Proceedings on International Conference on Internet of Things, Next Generation Networks and Cloud Computing ICINC 2016(1):10-13, July 2016. Full text available. BibTeX

@article{key:article,
	author = {Pramod Gavali and S. P. Pingat},
	title = {Article: Network Optimization in the Open Stack Cloud},
	journal = {IJCA Proceedings on International Conference on Internet of Things, Next Generation Networks and Cloud Computing},
	year = {2016},
	volume = {ICINC 2016},
	number = {1},
	pages = {10-13},
	month = {July},
	note = {Full text available}
}

Abstract

Cloud systems software requires a VM placement engine that decides where to place the virtual machine in the environment. The placement engine in the cloud platform such as OpenStack considers multiple constraints when launching a new instance, including required compute and memory resources. This placement mechanism does not considers network requirements of VM In this paper, we propose the solution to optimize the network resources which is easily integrated in the OpenStack placement engine. Our solution keeps the track of the the traffic following within the physical network devices and the appropriate action is taken to optimize the network resources including migration of existing VM.

References

  • Kevin Jackson , Cody Bunch "OpenStack Cloud Computing Cookbook Second Edition Kindle Edition"
  • M. Steiner, B. G. Gaglianello, V. Gurbani, V. Hilt, W. Roome, M. Scharf,and T. Voith, "Network-aware service placement in a distributed cloud environment," in Proc. ACM SIGCOMM, 2012. "
  • Zhenyu Wu, Guofei Jiang, and Haining Wang,Yueping Zhang, Vishal Singh, "Automating Cloud Network Optimization and Evolution," IEEE journal VOL. 31, NO. 12, DECEMBER 2013
  • David Breitgand, Amir Epstein, Alex Glikson, "Network Aware Virtual Machine and Image Placement in a Cloud," 9th CNSM and Workshop at IFIP DECEMBER 2013
  • H. Ballani, T. Karagiannis, P. Costa, and A. Rowstron, "Towards predictable datacenter networks," in Proc. ACM SIGCOMM, 2011, pp. 242–253.
  • X. Meng, L. Zhang V. Pappas, "Improving the scalability of data center networks with traffic-aware virtual machine placement," in IEEE INFOCOM, San Diego, CA, USA, March 2010.
  • Fie Xu ,Fangming Liu, " Heterogeneity and Interference-Aware Virtual Machine Provisioning for Predictable Performance in the Cloud" IEEE Transaction OCT 2015Bowman, M. , Debray, S. K. , and Peterson, L. L. 1993. Reasoning about naming systems. .
  • P. Leitner and J. Cito, "Patterns in the Chaos a Study of Performance Variation and Predictability in Public IaaS Clouds," in Proc. of WWW, May 2015.
  • F. Xu, F. Liu, H. Jin, and A. V. Vasilakos, "Managing Performance Overhead of Virtual Machines in Cloud Computing: A Survey,State of Art and Future Directions," Proceedings of the IEEE, vol. 102, no. 1, 2014. Heterogeneity of Public Clouds," IEEE Transactions on Cloud Computing, vol. 1, no. 2, 2013
  • K. LaCurts, S. Deng, A. Goyal, and H. Balakrishnan, "Choreo: Networkaware task placement for cloud applications," in Proc. ACM IMC, 2013.
  • B. Hu and H. Yu, "Research of scheduling strategy on OpenStack," in Pro. CLOUDCOM-ASIA, 2013.