Research on Resource Allocation based on RBF Neural Network Under Cloud Computing

DOI

10.2991/emim-17.2017.140How to use a DOI?

Keywords

Resource allocation; RBF neural network; Cloud computing

Abstract

In cloud computing environment, the resources of network is unknown and the topology is not fixed, so the structure and distribution of resources in whole cloud environment and the actual situation is unpredictable. In this case, the position of computing resources and quality amount is unknown to the data section point. It is unknown to find out the computing resources in the network topology by using RBF neural network algorithm, and select the most appropriate one or a few assigned to the user operation until meet the needs of users. This paper studied resource allocation based on RBF neural network under cloud computing. The results show the RBF neural network under cloud computing is a valid method for resource allocation.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Feng Liu
AU  - Peiwei Wang
AU  - Weijie Zhang
PY  - 2017/04
DA  - 2017/04
TI  - Research on Resource Allocation based on RBF Neural Network Under Cloud Computing
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 698
EP  - 701
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.140
DO  - 10.2991/emim-17.2017.140
ID  - Liu2017/04
ER  -