Efficient parallelised search engine based on virtual cluster
by Che Lun Hung; Chun-Yuan Lin
International Journal of Computational Science and Engineering (IJCSE), Vol. 12, No. 1, 2016

Abstract: Recently, more and more researches have indicated that the personalised and parallelised search engine can provide users with fast and correct information from the internet. Hadoop is a software framework to process the huge dataset with more than petabyte size. Virtualisation technology can fully utilise the resources of physical machines. In this paper, we construct a virtual cluster as a Hadoop cluster by multiple virtual machines to perform multiple Nutch simultaneously. From the experimental results, the proposed virtual cluster architecture for Nutch can retrieval data rapidly and the performance enhancement is proportional to the number of virtual machines.

Online publication date: Sat, 06-Feb-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Science and Engineering (IJCSE):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com