Research Article
Global Dynamic One-Step-Prediction Resource Allocation Strategy for Space Stereo Multi-layer Data Asymmetric Scale-Free Network
@INPROCEEDINGS{10.1007/978-3-319-73447-7_52, author={Weihao Xie and Zhigang Gai and Enxiao Liu and Dingfeng Yu}, title={Global Dynamic One-Step-Prediction Resource Allocation Strategy for Space Stereo Multi-layer Data Asymmetric Scale-Free Network}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part II}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Capacity Multi-layer network Scale-free Resource allocation}, doi={10.1007/978-3-319-73447-7_52} }- Weihao Xie
Zhigang Gai
Enxiao Liu
Dingfeng Yu
Year: 2018
Global Dynamic One-Step-Prediction Resource Allocation Strategy for Space Stereo Multi-layer Data Asymmetric Scale-Free Network
MLICOM
Springer
DOI: 10.1007/978-3-319-73447-7_52
Abstract
Many real communication networks possess space stereo multi-layer structure and the data transmitted in these networks is asymmetric. As the network resource is limited and resource allocation scheme is one of the most effective ways to promote the network performance, it is of great interest to explore a resource allocation strategy that can highly utilize the network resource and further improve the network capacity. In this light, the global dynamic one-step-prediction resource allocation (GDORA) strategy for the space stereo multi-layer data asymmetric scale-free network under the established directly proportional network framework is introduced in this work. Compared with the node degree and node betweenness resource allocation strategies, the GDORA scheme can achieve much higher network capacity and promote the network performance effectively.