Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Evolutionary Computation in Economics and Finance
Evolutionary Computation in Economics and Finance
Genetic Algorithms and Genetic Programming in Computational Finance
Genetic Algorithms and Genetic Programming in Computational Finance
The utility business model and the future of computing services
IBM Systems Journal
Evolution of market mechanism through a continuous space of auction-types
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
HPCC '08 Proceedings of the 2008 10th IEEE International Conference on High Performance Computing and Communications
GAMA (genetic algorithm driven multi-agents)for e-commerce integrative negotiation
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Agent-human interactions in the continuous double auction
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Cheat-Proof trust model for cloud computing markets
GECON'12 Proceedings of the 9th international conference on Economics of Grids, Clouds, Systems, and Services
Cost models - pillars for efficient cloud computing: position paper
International Journal of Intelligent Systems Technologies and Applications
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Cloud Computing markets arise as an efficient way to allocate resources for the execution of tasks and services within a set of geographically dispersed providers from different organisations. Client applications and service providers meet in a market and negotiate for the sales of services by means of the signature of a Service Level Agreement. Depending on the status of the demand, the provider is able to offer higher or lower prices for maximising its profit. It is difficult to establish a profitable pricing function in competitive markets, because there are several factors that can influence in the prices. This paper deals with the problem of offering competitive prices in the negotiation of services in Cloud Computing markets. A Genetic Algorithms approach is proposed, in which a naive pricing function evolves to a pricing function that offers suitable prices in function of the system status. Its results are compared with other pricing strategies, demonstrating its validity.