About


Dr. Liming Sun, Assistant professor, is currently working in a research institute, responsible for assisting in the completion of scientific research project declarations and undertaking some laboratory management work. He was an assistant professor at Broward College. He has published papers in foreign journals, owns 5 computer software copyrights and 1 work copyright, and has participated in international computer-related conferences.

My research direction is to engage in research work related to cloud computing, big data and network security. Important work has been completed in service-oriented architecture, service discovery, service composition and network resource management. Focusing on the field of data service technology, researching core key technologies such as efficient storage and deep mining of IoT big data, developing service systems and management systems that cover the entire life cycle of IoT data, and realizing DaaS (Data as a Service) cloud for big data Manage and process data services.

My teaching work is mainly responsible for the teaching of undergraduate and graduate courses, including cloud computing network management, big data technology foundation, Linux system management and service configuration, network security, data security management, database design and implementation, computer composition principles, data structure and Algorithms, information system development methods, server management and maintenance, and graphics software courses.

Publications


Set pair Analysis Model of Map quality based on data Mining


Chao Kilr, Mohamed Chen, Liming Sun

Python Programming software 05 May 2020, pp. 501-520


Power monitoring system based on configuration software


Erin Balker, Audrey Roy, Sarah Alko, Wengzhou Xu, Liming Sun

Power grid laboratory 2020 Oct 11, pp. 330-350


Thermal energy data communication cloud computing system


Erin Nore, Audrey Frlo, Sarah Brow, Liming Sun, Arthur Liu

BPA software for power system analysis June 11, 2021, pp. 240-279


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Projects




Big data expresses the data Model of ETL and Storage Management


ETL (extract extraction, transform transformation, load loading). ETL is responsible for extracting the data from scattered and heterogeneous data sources, such as relational data and plane data files, to the temporary middle layer...




Analysis method of Power load forecasting based on SVM algorithm


Power load forecasting is an important basis for power system generation planning. Accurate load forecasting is beneficial to improve the economy and reliability of power system operation. The load of power system is related to many factors...


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Academic Report


May 31, 2021

Weekly work report analysls of the blockchain mechanism of the Internet of thing

At present, the Internet of things industry has entered a blowout period, the connection space is constantly expanding, and the industry development presents a trend of "industry-oriented, based on IoT platform enabling, seeking SaaS services and data ...


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Nov 23, 2020

Research work based on block chain technology in smart grid

In order to realize the theoretical analysis of the regional chain technology of the smart grid, to identify the needs and status of each device, and to ensure the safe and correct operation of the smart grid communication network, Liming Sun adopts a ...


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