Dynamic cloud service selection using an adaptive learning mechanism in multi-cloud computing
A cloud service selection model that adopts cloud service brokers is proposed. We devise a dynamically adaptive learning mechanism for cloud service selections. The incentive, forgetting and degenerate strategies optimize cloud service selections. The dynamic cloud service selection algorithms show the adaptive characteristics. Our mechanism possesses better overall performance and efficiency.
dynamic cloud service selection adaptive learning mechanism cloud service broker