A Performance Study on the VM Startup Time in the Cloud

@article{Mao2012APS,
  title={A Performance Study on the VM Startup Time in the Cloud},
  author={Ming Mao and M. Humphrey},
  journal={2012 IEEE Fifth International Conference on Cloud Computing},
  year={2012},
  pages={423-430}
}
  • Ming Mao, M. Humphrey
  • Published 2012
  • Computer Science
  • 2012 IEEE Fifth International Conference on Cloud Computing
One of many advantages of the cloud is the elasticity, the ability to dynamically acquire or release computing resources in response to demand. However, this elasticity is only meaningful to the cloud users when the acquired Virtual Machines (VMs) can be provisioned in time and be ready to use within the user expectation. The long unexpected VM startup time could result in resource under-provisioning, which will inevitably hurt the application performance. A better understanding of the VM… Expand
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References

SHOWING 1-10 OF 20 REFERENCES
Twinkle: A fast resource provisioning mechanism for internet services
Cloud auto-scaling with deadline and budget constraints
Debunking Real-Time Pricing in Cloud Computing
  • S. Wee
  • Computer Science
  • 2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
  • 2011
VDN: Virtual machine image distribution network for cloud data centers
Early observations on the performance of Windows Azure
Auto-scaling to minimize cost and meet application deadlines in cloud workflows
  • Ming Mao, M. Humphrey
  • Computer Science
  • 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
  • 2011
Managing Peak Loads by Leasing Cloud Infrastructure Services from a Spot Market
Reducing Costs of Spot Instances via Checkpointing in the Amazon Elastic Compute Cloud
...
1
2
...