Algorithm Research & Explore
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2729-2735

Research on cache replacement algorithm for social network intensive graph data storage

Wang Dawei
Zheng Jia
Yang Yan
Institute of Scientific & Technical Information of China, Beijing 100038, China

Abstract

In order to alleviate the problems of frequent I/O of storage and space waste caused by dense graph data generated by hot topics in social networks, this paper proposed a THEA-CR according to the evolution and update law of topic generation and death. Firstly, this algorithm divided the social network data into some topic clusters to identify anchor targets. Secondly, this paper calculated the topic heat evolution acceleration to evaluate and judge the priority of hot data. Finally, this paper designed a dual queue cache replacement strategy to replace and update the cache space according to topic concern and access frequency. Massive comparative experiments verify the feasibility and effectiveness of the proposed algorithm in Sina Weibo dataset with the baselines cache replacement algorithms. The results show that the proposed THEA-CR can improve the cache hit rate by about 31.4% on average and shorten the query response time by about 27.1% in different query operations of social network dense graph data.

Foundation Support

中国科学技术信息研究所创新研究基金面上项目(MS2023-11)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.01.0008
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 9
Section: Algorithm Research & Explore
Pages: 2729-2735
Serial Number: 1001-3695(2023)09-025-2729-07

Publish History

[2023-03-20] Accepted Paper
[2023-09-05] Printed Article

Cite This Article

王大伟, 郑佳, 杨岩. 面向社交网络密集图数据存储的缓存置换算法 [J]. 计算机应用研究, 2023, 40 (9): 2729-2735. (Wang Dawei, Zheng Jia, Yang Yan. Research on cache replacement algorithm for social network intensive graph data storage [J]. Application Research of Computers, 2023, 40 (9): 2729-2735. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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