Bidding and allocation in combinatorial auctions
Proceedings of the 2nd ACM conference on Electronic commerce
Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems
Middleware '01 Proceedings of the IFIP/ACM International Conference on Distributed Systems Platforms Heidelberg
Market-based Proportional Resource Sharing for Clusters
Market-based Proportional Resource Sharing for Clusters
Analyzing Market-Based Resource Allocation Strategies for the Computational Grid
International Journal of High Performance Computing Applications
A taxonomy of market-based resource management systems for utility-driven cluster computing
Software—Practice & Experience
HPCC '08 Proceedings of the 2008 10th IEEE International Conference on High Performance Computing and Communications
A Strategy-proof Pricing Scheme for Multiple Resource Type Allocations
ICPP '09 Proceedings of the 2009 International Conference on Parallel Processing
A taxonomy of rational attacks
IPTPS'05 Proceedings of the 4th international conference on Peer-to-Peer Systems
The Impact of User Rationality in Federated Clouds
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Lightweight Resource Scaling for Cloud Applications
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Optimal resource provisioning for cloud computing environment
The Journal of Supercomputing
Financial Option Market Model for Federated Cloud Environments
UCC '12 Proceedings of the 2012 IEEE/ACM Fifth International Conference on Utility and Cloud Computing
Resource co-allocation framework based on hybrid gaming model in grid environments
International Journal of Grid and Utility Computing
A QoS and profit aware cloud confederation model for IaaS service providers
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
Multi-Layer Resource Management in Cloud Computing
Journal of Network and Systems Management
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Current large distributed systems allow users to share and trade resources. In cloud computing, users purchase different types of resources from one or more resource providers using a fixed pricing scheme. Federated clouds, a topic of recent interest, allows different cloud providers to share resources for increased scalability and reliability. However, users and providers of cloud resources are rational and maximize their own interest when consuming and contributing shared resources. In this paper, we present a dyanmic pricing scheme suitable for rational users requests containing multiple resource types. Using simulations, we compare the efficiency of our proposed strategy-proof dynamic scheme with fixed pricing, and show that user welfare and the percentage of successful requests is increased by using dynamic pricing.