Efficient Distributed Web Crawler Using Hefty and Enhanced Bandwidth Algorithms for Drug Website Search

International Journal of Machine Learning and Networked Collaborative Engineering

View Publication Info
 
 
Field Value
 
Title Efficient Distributed Web Crawler Using Hefty and Enhanced Bandwidth Algorithms for Drug Website Search
 
Creator A, Ramachadran
R, Arun Prakash
R, Aghila
Khari, Manju
 
Subject Distributed crawler, Web crawler, Bandwidth
 
Description  



Rrefabricate a proficient search structure is very important due to current scale of the web. Information are mined by Search engines from the web and a program called web crawler which surfs the web in an efficient manner. Distributed crawler belongs to a variant of web crawler, uses a dispersed computation method. In this paper, we design and implement the concept of Efficient Distributed Web Crawler using enhanced bandwidth and hefty algorithms. Mostly Web Crawler doesn’t have any distributed cluster performance system and any implemented algorithm. In this paper a novel Hefty Algorithm and enhanced bandwidth algorithm are combined together for better distributed crawling system. The hefty algorithm, implemented to provide the strong and efficient surfing results while applying on the drug web search. We also implemented Enhanced Bandwidth algorithm to improve the efficiency of proposed crawler.
 
Publisher SR Informatics, New Delhi, India
 
Date 2020-08-17
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://www.mlnce.net/index.php/Home/article/view/124
 
Source International Journal of Machine Learning and Networked Collaborative Engineering; Vol. 4 No. 01 (2020): Volume No 04 Issue No 01; 01-11
2581-3242
 
Language eng
 
Relation http://www.mlnce.net/index.php/Home/article/view/124/79
 
Rights Copyright (c) 2020 International Journal of Machine Learning and Networked Collaborative Engineering
http://creativecommons.org/licenses/by-nc-nd/4.0
 

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