Noncooperative load balancing in distributed systems
Journal of Parallel and Distributed Computing
Incentive-Based Scheduling for Market-Like Computational Grids
IEEE Transactions on Parallel and Distributed Systems
A Utility-Based Double Auction Mechanism for Efficient Grid Resource Allocation
ISPA '08 Proceedings of the 2008 IEEE International Symposium on Parallel and Distributed Processing with Applications
Future Generation Computer Systems
Enhancing Availability of Grid Computational Services to Ubiquitous Computing Applications
IEEE Transactions on Parallel and Distributed Systems
An auction method for resource allocation in computational grids
Future Generation Computer Systems
Communications of the ACM
Operational efficiency of decentralized Internet auction mechanisms
Electronic Commerce Research and Applications
A novel hybrid particle swarm optimisation method applied to economic dispatch
International Journal of Bio-Inspired Computation
Autonomous Agents and Multi-Agent Systems
A fluid queue modulated by two independent birth-death processes
Computers & Mathematics with Applications
A game-theoretic method of fair resource allocation for cloud computing services
The Journal of Supercomputing
ACO approach with learning for preemptive scheduling of real-time tasks
International Journal of Bio-Inspired Computation
Approaches to improve the resources management in the simulator cloudsim
ICICA'10 Proceedings of the First international conference on Information computing and applications
Improved differential evolution algorithm with decentralisation of population
International Journal of Bio-Inspired Computation
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Cloud computing is still in its infancy in spite of gaining significant momentum recently. Allocating cloud resources and taking both optimisation and fairness into account is one of the major challenges. In this paper, a novel cloud resource allocation algorithm through an auction mechanism to maximise resource revenue is put forward with a brief survey of resource allocation suitable for large-scale distributed computing environments. It includes: a) modelling a m*n type of resource allocation for cloud system; b) evaluating user bid price, deciding resource request price, and establishing auction price by a proposed auction mechanism; c) designing a cloud resource allocation algorithm in a cloud system. Experimental results conclusively demonstrate that the algorithm with the auction mechanism takes both optimisation and fairness into account, and maximises resource allocation revenue by the proposed auction mechanism in cloud computing environments.