Journal of JAITC, Vol. 10, No.2, pp. 15-31, Dec. 31, 2020 15 http://dx.doi.org/10.14801/JAITC.2020.10.2.15 Implementation of Efficient Distributed Crawler through Stepwise Crawling Node Allocation Hyuntae Kim1, Junhyung Byun2, Yoseph Na3, and Yuchul Jung4* 1,4Cognitive Intelligence Lab., Department of Computer Engineering, Kumoh National Institute of Technology, Gumi, Korea 2,3Undergraduate student, Department of Computer Engineering, Kumoh National Institute of Technology, Gumi, Korea
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[email protected], orcid: https://orcid.org/0000-0002-6543-805X
[email protected], orcid: https://orcid.org/0000-0002-5360-7418
[email protected], orcid: https://orcid.org/0000-0002-8871-1979 (*Corresponding Author) Abstract Various websites have been created due to the increased use of the Internet, and the number of documents distributed through these websites has increased proportionally. However, it is not easy to collect newly updated documents rapidly. Web crawling methods have been used to continuously collect and manage new documents, whereas existing crawling systems applying a single node demonstrate limited performances. Furthermore, crawlers applying distribution methods exhibit a problem related to effective node management for crawling. This study proposes an efficient distributed crawler through stepwise crawling node allocation, which identifies websites' properties and establishes crawling policies based on the properties identified to collect a large number of documents from multiple websites. The proposed crawler can calculate the number of documents included in a website, compare data collection time and the amount of data collected based on the number of nodes allocated to a specific website by repeatedly visiting the website, and automatically allocate the optimal number of nodes to each website for crawling.