Performance Enhancement Method Through Science DMZ Data Transfer Node Tuning Parameters


KIPS Transactions on Computer and Communication Systems, Vol. 7, No. 2, pp. 33-40, Feb. 2018
10.3745/KTCCS.2018.7.2.33,   PDF Download:
Keywords: End to End Transfer Efficiency, 100Gbps Data Transfer Node, Tuning Parameters
Abstract

In an environment with a large network bandwidth, maximizing bandwidth utilization is an important issue to increase transmission efficiency. End-to-end transfer efficiency is significantly influenced by factors such as network, data transfer nodes, and intranet network security policies. Science DMZ is an innovative network architecture that maximizes transfer performance through optimal solution of these complex components. Among these, the data transfer node is a key factor that greatly affects the transfer performance depending on storage, network interface, operating system, and transfer application tool. However, tuning parameters constituting a data transfer node must be performed to provide high transfer efficiency. In this paper, we propose a method to enhance performance through tuning parameters of 100Gbps data transfer node. With experiment result, we confirmed that the transmission efficiency can be improved greatly in 100Gbps network environment through the tuning of Jumbo frame and CPU governor. The network performance test through Iperf showed improvement of 300% compared to the default state and NVMe SSD showed 140% performance improvement compared to hard disk.


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Cite this article
[IEEE Style]
P. J. Seon, P. J. Hyung, K. S. Hae, N. M. Ki, "Performance Enhancement Method Through Science DMZ Data Transfer Node Tuning Parameters," KIPS Transactions on Computer and Communication Systems, vol. 7, no. 2, pp. 33-40, 2018. DOI: 10.3745/KTCCS.2018.7.2.33.

[ACM Style]
Park Jong Seon, Park Jin Hyung, Kim Seung Hae, and Noh Min Ki. 2018. Performance Enhancement Method Through Science DMZ Data Transfer Node Tuning Parameters. KIPS Transactions on Computer and Communication Systems, 7, 2, (2018), 33-40. DOI: 10.3745/KTCCS.2018.7.2.33.