Work

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

Year: 2017

Type: conference-paper

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.

Source: International Conference on Education, Management, Information and Mechanical Engineering (EMIM)

DOI: 10.2991/emim-17.2017.140

Authors: Feng Liu, Peiwei Wang, Weijie Zhang

Institution: Yulin University

Language: English

Topic: Cloud Computing and Resource Management

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: National Natural Science Foundation of China

Award: G8173227029