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Migration of Search Engine Process into the Cloud

by Akassh A Mishra, Chinmay Kamat
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 19 - Number 1
Year of Publication: 2011
Authors: Akassh A Mishra, Chinmay Kamat
10.5120/2326-3020

Akassh A Mishra, Chinmay Kamat . Migration of Search Engine Process into the Cloud. International Journal of Computer Applications. 19, 1 ( April 2011), 19-23. DOI=10.5120/2326-3020

@article{ 10.5120/2326-3020,
author = { Akassh A Mishra, Chinmay Kamat },
title = { Migration of Search Engine Process into the Cloud },
journal = { International Journal of Computer Applications },
issue_date = { April 2011 },
volume = { 19 },
number = { 1 },
month = { April },
year = { 2011 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume19/number1/2326-3020/ },
doi = { 10.5120/2326-3020 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:05:51.767421+05:30
%A Akassh A Mishra
%A Chinmay Kamat
%T Migration of Search Engine Process into the Cloud
%J International Journal of Computer Applications
%@ 0975-8887
%V 19
%N 1
%P 19-23
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The basic elements of a search engine process are crawling, storage, indexing and ranking algorithms. The current approach towards design of search engines is monolithic and infrastructure-heavy. In present paper, we discuss a modularized and a light-weight approach towards the search engine process using the merits of cloud computing. The cloud-based search architecture enables customization of the search process as per requirements of the stakeholders. The new approach provides a cloud-based platform for low-cost, effective and personalized search models. This approach overcomes the pitfalls in traditional Search Engine Optimization and has tremendous scope for future development.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Search Engine Process Optimization Crawling Indexing Search Algorithms Cloud Computing Cloud Architecture

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