A performance study on the VM startup time in the cloud

Proceedings - 2012 IEEE 5th International Conference on Cloud Computing, CLOUD 2012

Volumn , Issue , 2012, Pages 423-430

  Mao, Ming ^a   Humphrey, Marty ^a  

^a University of Virginia   (United States)

Author keywords

cloud computing; performance study; spot instances; VM startup acquisition spinup time

Indexed keywords

AMAZON EC2; APPLICATION PERFORMANCE; CLOUD PROVIDERS; COMPUTING RESOURCE; DATA CENTERS; PERFORMANCE STUDY; RESOURCE PROVISIONING; SPOT INSTANCES; STARTUP TIME; USER EXPECTATIONS; VIRTUAL MACHINES; VM STARTUP/ACQUISITION/SPINUP TIME; WAITING-TIME;

ELASTICITY; WINDOWS OPERATING SYSTEM;

CLOUD COMPUTING;

EID: 84866744447     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CLOUD.2012.103     Document Type: Conference Paper

References (22)

1. Are Long VM Instance Spin-Up Times In The Cloud Costing You Money? http://highscalability.com/blog/2011/3/17/are-long-vm-instance-spin-up-times-in- the-cloud-costing-you.html
2. Why does Azure deployment take so long? http://stackoverflow.com /questions/5080445/why-does-azure-deployment-take-so-long
3. S. Yi, D. Kondo, and A. Andrzejak, "Reducing Costs of Spot Instances via Checkpointing in the Amazon Elastic Compute Cloud," In The 3rd IEEE International Conference on Cloud Computing (CLOUD 2010), Miami, FL USA, 2010.
4. S. Wee, "Debunking Real-Time Pricing in Cloud Computing," In The 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2011), Newport Beach, CA, USA, 2011.
5. N. Chohan, C. Castillo, M. Spreitzer, M. Steinder, A. Tantawi, and C. Krintz. "See Spot Run: Using Spot Instances for Mapreduce Workows," In Proceedings of the 2nd USENIX conference on Hot topics in cloud computing (HotCloud 2010), pages 7-7, Berkeley, CA, USA, 2010.
6. M. Mattess, C. Vecchiola, and R. Buyya, "Managing Peak Loads by Leasing Cloud Infrastructure Services from a Spot Market," In Proceedings of the 2010 IEEE 12th International Conference on High Performance Computing and Communications (HPCC 2010), pages 180-188, Washington, DC, USA, 2010.
7. M. Mao, Jie Li and M. Humphrey, "Cloud Auto-Scaling with Deadline and Budget Constraints," In Proceedings of 11th ACM/IEEE International Conference on Grid Computing (Grid 2010), Brussels, Belgium, Oct 25-28, 2010.
8. M. Mao and M. Humphrey, "Auto-Scaling to Minimize Cost and Meet Application Deadlines in Cloud Workflows," In Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2011), Seattle, WA, Nov 15-20, 2011.
9. Joe Weinman, Time is Money: The Value of "On-Demand", http://www.joeweinman.com/Resources/Joe-Weinman-Time-Is-Money.pdf
10. S. Ostermann, A. Iosup, N. Yigitbasi, R. Prodan, T. Fahringer and D. Epema, "A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing," CloudComp 2009.
11. Z. Hill, M. Mao, J. Li, A. Ruiz-Alvarez, and M. Humphrey, "Early Observations on the Performance of Windows Azure," in 1st Workshop on Scientific Cloud Computing (ScienceCloud 2010), 2010.
12. Amazon EC2. http://aws.amazon.com/ec2/
13. Windows Azure. http://www.microsoft.com/windowsazure/
14. Rackspace. http://www.rackspace.com/
15. HostMonk, All Rankings of Cloud Providers. http://www.hostmonk.com/ranks/ cloud
16. SearchCloudComputing. Top 10 Cloud Computing Providers of 2011. http://searchcloudcomputing.techtarget.com/feature/Top-10-cloud-computing- providers-of-2011
17. EC2 Data Transfer Rate. http://blog.rightscale.com/2007/10/28/network- performance-within-amazon-ec2-and-to-amazon-s3/
18. Rackspace Cloud Server Limits. http://docs.rackspace.com/servers/api/v1. 0/cs-devguide/content/Limits-d1e997.html
19. X. Wu, Z. Shen, R. W and Y. Lin, "Jump-start cloud: efficient deployment framework for large-scale cloud applications," In Proceedings of the 7th International Conference on Distributed Computing and Internet Technology (ICDCIT 11).
20. J. Zhu, Z. Jiang and Z. Xiao, "Twinkle: A Fast Resource Provisioning Mechanism for Internet Services," In The 30th IEEE International Conference on Computer Communications (INFOCOM 2011), Shanghai, China 2011.
21. C. Tang, "FVD: A High-Performance Virtual Machine Image Format For Cloud," In Proceedings of the 2011 USENIX Conference on USENIX Annual Technical Conference (USENIXATC'11).
22. C. Peng, M. Kim, Z. Zhang and H. Lei, "VDN: Virtual Machine Image Distribution Network for Cloud Data Centers," In The 31th IEEE International Conference on Computer Communications (INFOCOM 2012), Orlando, FL USA, 2012.