Encapsulating one or more piece of cloud service information into a cloud service broker (CBR) makes the cloud service selection flexible and controllable.

We devise a dynamically adaptive learning mechanism for cloud service selections. The incentive, forgetting and degenerate strategies optimize cloud service ...

In the process of selecting services, each cloud service broker manages some clustered cloud services, and performs the DCS strategy whose core is an adaptive ...

Wang et al. (2015a) propose an adaptive learning cloud broker mechanism to help users dynamically select the right service to match their tasks. They propose a ...

Semantic Scholar extracted view of "Dynamic cloud service selection using an adaptive learning mechanism in multi-cloud computing" by Xiaogang Wang et al.

The core of DCS uses an adaptive learning mechanism consisting of the incentive and forgetting functions, which is devised to dynamically perform the optimising ...

Feb 13, 2016 · The core of DCS uses an adaptive learning mechanism consisting of the incentive and forgetting functions, which is devised to dynamically ...

A dynamic cloud service selection strategy named DCS is given which uses an adaptive learning mechanism consisting of the incentive and forgetting functions ...

Adaptive Learning: This algorithm takes the data from the service monitor and calculates and searches the best performance services with low cost and send the ...

The core of DCS uses an adaptive learning mechanism ... A set of dynamic cloud service selection algorithms are also presented to implement our mechanism.