| Title | 10 Gigabit industrial thermal data acquisition and storage solution based on software-defined network |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Zhang, Ge, Zhang, Zheyu, Sun, Jun, Wang, Zun, Wang, Rui, Wang, Shirui, Xie, Chengyun |
| Conference Name | 2022 7th IEEE International Conference on Data Science in Cyberspace (DSC) |
| Date Published | jul |
| Keywords | data acquisition, Data collection, DPDK, flow collection and aggregation, industrial control, industrial control system, industrial control systems, industrial thermal data, Logic gates, Packet loss, pubcrawl, reliability, resilience, Resiliency, Scalability, Timing |
| Abstract | With the wide application of Internet technology in the industrial control field, industrial control networks are getting larger and larger, and the industrial data generated by industrial control systems are increasing dramatically, and the performance requirements of the acquisition and storage systems are getting higher and higher. The collection and analysis of industrial equipment work logs and industrial timing data can realize comprehensive management and continuous monitoring of industrial control system work status, as well as intrusion detection and energy efficiency analysis in terms of traffic and data. In the face of increasingly large realtime industrial data, existing log collection systems and timing data gateways, such as packet loss and other phenomena [1], can not be more complete preservation of industrial control network thermal data. The emergence of software-defined networking provides a new solution to realize massive thermal data collection in industrial control networks. This paper proposes a 10-gigabit industrial thermal data acquisition and storage scheme based on software-defined networking, which uses software-defined networking technology to solve the problem of insufficient performance of existing gateways. |
| DOI | 10.1109/DSC55868.2022.00093 |
| Citation Key | zhang_10_2022 |
10 Gigabit industrial thermal data acquisition and storage solution based on software-defined network