Open Access   Article Go Back

Resource Provisioning for Ensuring QoS in Virtualized Environments

L.Jayasimman 1 , B.Geetha Dhanalakshmi2

Section:Review Paper, Product Type: Journal Paper
Volume-06 , Issue-02 , Page no. 140-146, Mar-2018

Online published on Mar 31, 2018

Copyright © L.Jayasimman, B.Geetha Dhanalakshmi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: L.Jayasimman, B.Geetha Dhanalakshmi, “Resource Provisioning for Ensuring QoS in Virtualized Environments,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.02, pp.140-146, 2018.

MLA Style Citation: L.Jayasimman, B.Geetha Dhanalakshmi "Resource Provisioning for Ensuring QoS in Virtualized Environments." International Journal of Computer Sciences and Engineering 06.02 (2018): 140-146.

APA Style Citation: L.Jayasimman, B.Geetha Dhanalakshmi, (2018). Resource Provisioning for Ensuring QoS in Virtualized Environments. International Journal of Computer Sciences and Engineering, 06(02), 140-146.

BibTex Style Citation:
@article{Dhanalakshmi_2018,
author = {L.Jayasimman, B.Geetha Dhanalakshmi},
title = {Resource Provisioning for Ensuring QoS in Virtualized Environments},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2018},
volume = {06},
Issue = {02},
month = {3},
year = {2018},
issn = {2347-2693},
pages = {140-146},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=221},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=221
TI - Resource Provisioning for Ensuring QoS in Virtualized Environments
T2 - International Journal of Computer Sciences and Engineering
AU - L.Jayasimman, B.Geetha Dhanalakshmi
PY - 2018
DA - 2018/03/31
PB - IJCSE, Indore, INDIA
SP - 140-146
IS - 02
VL - 06
SN - 2347-2693
ER -

           

Abstract

Live VM migration help attain both cloud-wide load balancing and operational consolidation while the migrating VMs remain accessible toward users. To avoid period of high-load for the complicated resources, IaaS-cloud operators assign specific time windows for such migrations to occur in an orderly manner. Moreover, provider normally relies on share-nothing architectures to get scalability. In this paper, we focus on the immediate scheduling of live VM migrations in large share-nothing IaaS clouds, such that migration are complete on time and without adversely affecting agreed-upon SLAs. We offer a scalable, distributed network of brokers that oversees the progress of all on-going migration operations within the context of a provider. Brokers make use of an fundamental exceptional purpose file system, termedMigrateFS, that is capable of both replicating and keeping in sync virtual disks while the hypervisor live-migrates VMs (i.e., RAM and CPU state). By restrictive the resources consumed during migration, brokers implement policies to reduce SLA violations while seeking to complete all migration tasks on time.

Key-Words / Index Term

Distributed Systems, Cloud Computing, IaaS Clouds, Virtual Machine Migration

References

[1] C. Weng, M. Li, Z. Wang, and X. Lu, “Automatic Performance Tuning for the Virtualized Cluster System,” in Proc. of the 29th IEEEInt. Conf. on Distributed Computing Systems,Montreal, Canada, June 2009.
[2] VMware, “VMware DRS - Dynamic Scheduling of System Resources,” www.vmware.com/products/drs/overview.html, Oct. 2009.
[3] C. Clark, K. Fraser, S. Hand, J. G. Hansen, E. Jul, C. Limpach, I. Pratt, and A. Warfield, “Live Migration of Virtual Machines,” in Proc. of the 2nd Symposium on Networked Systems Design & Implementation, Boston, MA, May 2005.
[4] Z. Liu, W. Qu, W. Liu, and K. Li, “Xen Live Migration with Slowdown Scheduling Algorithm,” in Proc. of the 2010 Int. Conf. on Parallel and Distributed Computing, Applications and Technologies, ser. PDCAT ’10, Wuhan, China, Dec. 2010, pp. 215–221.
[5] W. Voorsluys, J. Broberg, S. Venugopal, and R. Buyya, “Cost of Virtual Machine LiveMigration in Clouds: A Performance Evaluation,” in Proc. of the 1st Int. Conf. on Cloud Computing (CloudCom’09), Beijing, China, Dec. 2009.
[6] Y. Luo, B. Zhang, X. Wang, Z. Wang, Y. Sun, and H. Chen, “Live and IncrementalWhole-System Migration of Virtual Machines Using Block-Bitmap,” in Proc. of IEEE Int. Conf. on Cluster Computing, Tsukuba, Japan, September 2008.
[7] R. Bradford, E. Kotsovinos, A. Feldmann, and H. Schi ¨oberg, “Live Wide-Area Migration of Virtual Machines Including Local Persistent State,” in In VEE ’07: Proc. of the 3rd Int. Conf. on Virtual Execution Environments, San Diego, CA, June 2007.
[8] T. Wood, K. K. Ramakrishnan, P. Shenoy, and J. van der Merwe, “CloudNet: Dynamic Pooling of Cloud Resources by Live WAN Migration of Virtual Machines,” SIGPLAN Not., pp. 121–132, March 2011.
[9] A. Mashtizadeh, E. Celebi, T. Garfinkel, and M. Cai, “The Design and Evolution of Live Storage Migration in VMware ESX,” in Proc. of the 2011 USENIX Annual Technical Conference, Portland, OR, 2011.
[10] D. Josephsen, Building a Monitoring Infrastructure with Nagios. Upper Saddle River, NJ: Prentice Hall PTR, 2007.