Algorithmic mechanism design (extended abstract)
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
G-commerce: Market Formulations Controlling Resource Allocation on the Computational Grid
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Computational-Mechanism Design: A Call to Arms
IEEE Intelligent Systems
HPCC '08 Proceedings of the 2008 10th IEEE International Conference on High Performance Computing and Communications
A Novel Cloud Market Infrastructure for Trading Service
ICCSA '09 Proceedings of the 2009 International Conference on Computational Science and Its Applications
IEEE Internet Computing
A Strategy-proof Pricing Scheme for Multiple Resource Type Allocations
ICPP '09 Proceedings of the 2009 International Conference on Parallel Processing
Dynamic Resource Pricing on Federated Clouds
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Reducing Costs of Spot Instances via Checkpointing in the Amazon Elastic Compute Cloud
CLOUD '10 Proceedings of the 2010 IEEE 3rd International Conference on Cloud Computing
Resource Allocation with Supply Adjustment in Distributed Computing Systems
ICDCS '10 Proceedings of the 2010 IEEE 30th International Conference on Distributed Computing Systems
The reservoir model and architecture for open federated cloud computing
IBM Journal of Research and Development
Resource Pricing and Equilibrium Allocation Policy in Cloud Computing
CIT '10 Proceedings of the 2010 10th IEEE International Conference on Computer and Information Technology
Decision Model for Cloud Computing under SLA Constraints
MASCOTS '10 Proceedings of the 2010 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Combinatorial Auction-Based Allocation of Virtual Machine Instances in Clouds
CLOUDCOM '10 Proceedings of the 2010 IEEE Second International Conference on Cloud Computing Technology and Science
Resource Provisioning Policies to Increase IaaS Provider's Profit in a Federated Cloud Environment
HPCC '11 Proceedings of the 2011 IEEE International Conference on High Performance Computing and Communications
Deconstructing Amazon EC2 Spot Instance Pricing
CLOUDCOM '11 Proceedings of the 2011 IEEE Third International Conference on Cloud Computing Technology and Science
Statistical Modeling of Spot Instance Prices in Public Cloud Environments
UCC '11 Proceedings of the 2011 Fourth IEEE International Conference on Utility and Cloud Computing
A taxonomy of rational attacks
IPTPS'05 Proceedings of the 4th international conference on Peer-to-Peer Systems
ICA3PP'10 Proceedings of the 10th international conference on Algorithms and Architectures for Parallel Processing - Volume Part I
Pure exchange markets for resource sharing in federated clouds
Concurrency and Computation: Practice & Experience
| Hi-index | 0.00 |
With cloud computing, the long-envisioned dream of computing as utility is achieved. Many of the current standalone cloud providers offer resources and services using pay-per-use fixed pricing. Spot pricing, recently introduced in Amazon EC2, is more efficient by setting the resource price dynamically, based on demand. However, this pricing scheme, similar to the uniform price auction, is truthful only when supply can be adjusted, such as the case of a standalone cloud provider. In a federated cloud, where resources from multiple cloud providers are integrated to increase elasticity and reliability, rational users can have a greater impact. In this paper, we evaluate the impact of rationality in a federated cloud, by comparing the consumer welfare achieved by spot pricing, currently used in Amazon EC2, and a strategy-proof pricing scheme. We consider different EC2 regions as providers in a federated cloud, and use traces of spot prices to determine the consumer requests and the user welfare. Our results show that spot pricing is not suitable in a federated cloud, where rational users can increase their welfare by being untruthful.