The POPCORN market—an online market for computational resources
Proceedings of the first international conference on Information and computation economies
Algorithmic mechanism design (extended abstract)
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
Bidding and allocation in combinatorial auctions
Proceedings of the 2nd ACM conference on Electronic commerce
Sharing the cost of multicast transmissions
Journal of Computer and System Sciences - Special issue on Internet algorithms
G-commerce: Market Formulations Controlling Resource Allocation on the Computational Grid
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
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
BOINC: A System for Public-Resource Computing and Storage
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
True costs of cheap labor are hard to measure: edge deletion and VCG payments in graphs
Proceedings of the 6th ACM conference on Electronic commerce
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
Sustaining Incentive in Grid Resource Allocation: A Reinforcement Learning Approach
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
Strategy proof electronic markets
Proceedings of the ninth international conference on Electronic commerce
SORMA --- Business Cases for an Open Grid Market: Concept and Implementation
GECON '08 Proceedings of the 5th international workshop on Grid Economics and Business Models
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
An approach to vickrey-based resource allocation in the presence of monopolistic sellers
AusGrid '09 Proceedings of the Seventh Australasian Symposium on Grid Computing and e-Research - Volume 99
A distributed market framework for large-scale resource sharing
EuroPar'10 Proceedings of the 16th international Euro-Par conference on Parallel processing: Part I
A coordinator for scaling elastic applications across multiple clouds
Future Generation Computer Systems
A business-oriented Cloud federation model for real-time applications
Future Generation Computer Systems
Research on resource scheduling of cloud based on improved particle swarm optimization algorithm
BICS'13 Proceedings of the 6th international conference on Advances in Brain Inspired Cognitive Systems
Resource scheduling of cloud with QoS constraints
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
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There is growing interest in large-scale resource sharing with emerging architectures such as cloud computing, where globally distributed and commoditized resources can be shared and traded Federated clouds, a topic of recent interest, aims to integrate different types of cloud resources from different providers, to increase scalability and reliability In federated clouds, users are rational and maximize their own interest when consuming and contributing shared resources, while globally distributed resource supply and demand changes as users join and leave the cloud dynamically over time In this paper, we propose a dynamic pricing scheme for multiple types of shared resources in federated clouds and evaluate its performance Fixed pricing, currently used by cloud providers, does not reflect the dynamic resource price due to the changes in supply and demand Using simulations, we compare the economic and computational efficiencies of our proposed dynamic pricing scheme with fixed pricing We show that the user utility is increased, while the percentage of successful buyer requests and the percentage of allocated seller resources is higher with dynamic pricing.