Open Access

ARTICLE

A Trusted NUMFabric Algorithm for Congestion Price Calculation at the Internet-of-Things Datacenter

by Shan Chun¹, Xiaolong Chen², Guoqiang Deng^3,*, Hao Liu⁴

1 School of Electronics and Information, Guangdong Polytechnic Normal University, Guangzhou, 510665, China
2 Information Engineering College, Jinhua Polytechnic, Jinhua, 32100, China
3 The Information Network Engineering and Research Center, South China University of Technology, Guangzhou, 510641, China
4 Qianxin Technology Group Co., Ltd., Beijing, 100044, China

* Corresponding Author: Guoqiang Deng. Email:

(This article belongs to the Special Issue: Intelligent Models for Security and Resilience in Cyber Physical Systems)

Computer Modeling in Engineering & Sciences 2021, 126(3), 1203-1216. https://doi.org/10.32604/cmes.2021.012230

Received 21 June 2020; Accepted 16 October 2020; Issue published 19 February 2021

Abstract

The important issues of network TCP congestion control are how to compute the link price according to the link status and regulate the data sending rate based on link congestion pricing feedback information. However, it is difficult to predict the congestion state of the link-end accurately at the source. In this paper, we presented an improved NUMFabric algorithm for calculating the overall congestion price. In the proposed scheme, the whole network structure had been obtained by the central control server in the Software Defined Network, and a kind of dual-hierarchy algorithm for calculating overall network congestion price had been demonstrated. In this scheme, the first hierarchy algorithm was set up in a central control server like Opendaylight and the guiding parameter B is obtained based on the intelligent data of global link state information. Based on the historical data, the congestion state of the network and the guiding parameter B is accurately predicted by the machine learning algorithm. The second hierarchy algorithm was installed in the Openflow link and the link price was calculated based on guiding parameter B given by the first algorithm. We evaluate this evolved NUMFabric algorithm in NS3, which demonstrated that the proposed NUMFabric algorithm could efficiently increase the link bandwidth utilization of cloud computing IoT datacenters.

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