Abstract:

In order to improve the accuracy and controllability of resource allocation process in multiple virtual planes, a prediction-based adaptive allocation algorithm is proposed. The algorithm used a grey prediction model to predict the resource usage for each virtual node at the next time, and then adaptively distributed and modified the value of resource allocation through the establishment of the mathematical model between the allocation factors and resource utilization, until it could meet the actual demand. For different virtual business plane, the algorithm could set different allocation parameters to control the allocation results so as to meet the different levels of service. Finally, the experiments show that the algorithm can not only implement the process of dynamic resource allocation quickly and accurately, but also meet the distribution of multiple virtual business planes. And in this process, the virtual resource utilization is maintained at a reasonable value near the target.

Key words: virtual business plane, dynamic resource allocation, grey prediction, adaptive allocation, resource utilization