research-article

Course Selection System Based on Memory Data Access Technology

Authors:

Pingrong Lin,

Zherong Chen, and

Zheyuan LinAuthors Info & Claims

ICBDC '20: Proceedings of the 5th International Conference on Big Data and Computing

May 2020

Pages 46 - 50

https://doi.org/10.1145/3404687.3404696

Published: 30 July 2020 Publication History

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Abstract

Taking the course selection system of South china Institute of Software Engineering of Guangzhou University as an example, the underlying data interaction technology of the system and its advantages and disadvantages are analyzed, and an optimization scheme is proposed based on this. The optimization solution uses the fast access feature of memory data to pre-load necessary data into memory, uses ConcurrentHashMap to improve the system's concurrency and processing efficiency, uses locks to ensure that lock acquisition is performed in the order of requested locks, and then uses the message queue component Rabbitmq to asynchronously memory data Update to the background database. Experimental results verify the feasibility and effectiveness of the scheme.

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ZHOU Huikui, HE Yuanzi. Research on performance optimization of course selection system in Universities under big data environment [J]. Computer Knowledge and Technology, 2016, 12(31):8--9+11.

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CUI Zheng, DUAN Liguo. Thread interaction based on Java synchronized synchronization lock [J]. Software Engineering, 2018, 21(02):1--3.

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XIAO Shun, YAN Bibo. Design and implementation of a message push system based on rabbitmq[J]. Electronics World, 2019(07):204--205.

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Index Terms

Course Selection System Based on Memory Data Access Technology
1. Information systems
  1. Information systems applications
    1. Enterprise information systems
      1. Enterprise applications

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ICBDC '20: Proceedings of the 5th International Conference on Big Data and Computing

May 2020

133 pages

ISBN:9781450375474

DOI:10.1145/3404687

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Shenzhen University: Shenzhen University
Sun Yat-Sen University

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Association for Computing Machinery

New York, NY, United States

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Published: 30 July 2020

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ICBDC 2020

ICBDC 2020: 2020 5th International Conference on Big Data and Computing

May 28 - 30, 2020

Chengdu, China

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The semantics of progress in lock-based transactional memory

A Lock-Based STM Protocol That Satisfies Opacity and Progressiveness

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