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Mathematics > Numerical Analysis

arXiv:2312.15158 (math)
[Submitted on 23 Dec 2023]

Title:Map-Reduce for Multiprocessing Large Data and Multi-threading for Data Scraping

Authors:Zefeng Qiu, Prashanth Umapathy, Qingquan Zhang, Guanqun Song, Ting Zhu
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Abstract:This document is the final project report for our advanced operating system class. During this project, we mainly focused on applying multiprocessing and multi-threading technology to our whole project and utilized the map-reduce algorithm in our data cleaning and data analysis process. In general, our project can be divided into two components: data scraping and data processing, where the previous part was almost web wrangling with employing potential multiprocessing or multi-threading technology to speed up the whole process. And after we collect and scrape a large amount value of data as mentioned above, we can use them as input to implement data cleaning and data analysis, during this period, we take advantage of the map-reduce algorithm to increase efficiency.
Subjects: Numerical Analysis (math.NA)
Cite as: arXiv:2312.15158 [math.NA]
  (or arXiv:2312.15158v1 [math.NA] for this version)
  https://doi.org/10.48550/arXiv.2312.15158

Submission history

From: Guanqun Song [view email]
[v1] Sat, 23 Dec 2023 04:14:49 UTC (1,477 KB)
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