EPJ Web Conf.
Volume 214, 201923rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|Number of page(s)||6|
|Section||T8 - Networks & facilities|
|Published online||17 September 2019|
Simulation approach for improving the computing network topology and performance of the China IHEP Data Center
Joint Institute for Nuclear Researches, Laboratory of Information Technologies,
2 Computing Center, Institute of High Energy Physics Chinese Academy of Sciences, Beijing, China
* Corresponding author: firstname.lastname@example.org
Published online: 17 September 2019
The paper describes the project intended to improve the computing network topology and performance of the China IHEP Data Center taking into account growing numbers of hosts, experiments and computing resources. The analysis of the computing performance of the IHEP Data Center in order to optimize its distributed data processing system is a really hard problem due to the great scale and complexity of shared computing and storage resources between various HEP experiments. In order to fulfil the requirements, we adopt the simulation program SyMSim that was developed at the Laboratory of Information Technologies of the Joint Institute for Nuclear Research. This simulation system is focused on improving the efficiency of the grid-cloud structures development by using the work quality indicators of some real system. SyMSim facilitates making a decision regarding required equipment and resources. The simulation uses input parameters from the data base of the IHEP computing infrastructure, besides we use some data of the BESIII experiments to indicate workflow and data flow parameters for simulation three different cases of organizing IHEP computing infrastructure. The first simulation results show that the proposed approach allows us to make an optimal choice of the network topology improving its performance and saving resources.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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