A Framework for Allocating Server Time to Spot and On-Demand Services in Cloud Computing

@article{Wu2019AFF,
  title={A Framework for Allocating Server Time to Spot and On-Demand Services in Cloud Computing},
  author={X. Wu and F. Pellegrini and Guanyu Gao and G. Casale},
  journal={ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS)},
  year={2019},
  volume={4},
  pages={1 - 31}
}
  • X. Wu, F. Pellegrini, +1 author G. Casale
  • Published 2019
  • Computer Science
  • ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS)
Cloud computing delivers value to users by facilitating their access to servers at any time period needed. An approach is to provide both on-demand and spot services on shared servers. The former allows users to access servers on demand at a fixed price and users occupy different time periods on servers. The latter allows users to bid for the remaining unoccupied time periods via dynamic pricing; however, without appropriate design, such time periods may be arbitrarily short since on-demand… Expand
3 Citations
Adaptive Multi-Threshold Energy-Aware Virtual Machine Consolidation in Cloud Data Center

References

SHOWING 1-7 OF 7 REFERENCES
Present or Future: Optimal Pricing for Spot Instances
  • 28
  • Highly Influential
  • PDF
Cloud Pricing: The Spot Market Strikes Back
  • 20
  • Highly Influential
  • PDF
Tradeoffs Between Profit and Customer Satisfaction for Service Provisioning in the Cloud
  • 165
  • Highly Influential
How to Bid the Cloud
  • 136
  • Highly Influential
  • PDF
Deconstructing Amazon EC2 Spot Instance Pricing
  • 201
  • Highly Influential
  • PDF
Fixed and market pricing for cloud services
  • 83
  • Highly Influential
  • PDF
A report on the workshop on the economics of cloud computing
  • 4
  • Highly Influential