Identification of Effective Public Cloud on User Query
| ||International Journal of Computer Trends and Technology (IJCTT)|| |
|© - July Issue 2013 by IJCTT Journal|
|Volume-4 Issue-7 |
|Year of Publication : 2013|
|Authors :Manjeet Gupta,Sonia Sindhu|
Manjeet Gupta,Sonia Sindhu"Identification of Effective Public Cloud on User Query "International Journal of Computer Trends and Technology (IJCTT),V4(7):2003-2007 July Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract: - One of the major requirement over the web is about the selection of best service and service provider over the web. When we talk about cloud service the work is more specific and the parametric. As the cloud computing is becoming prevalent, a huge amount of information is centralized on the cloud so the searching of effective cloud data according to user requirement is necessary. A ranked search greatly improve the usability by returning the matching files in a ranked order. The ranking of returned data can be decided by several factors. Ranking of returned data based on keyword matching is already given by several authors. Here we will give ranking based on other factors like user recommendation ,response time and security as well. We describe algorithm for searching cloud data in which we can give different weight age to all these parameters. Here we are using public cloud for showing searching results.
 Tritty Mamachan, Roshni .M. Thanka,”Servey on Keyword Searching in Cloud Storages .International Journal of Emerging Technology and Advanced Engineering(2012).
 Georgia Koutrika (2009),” CourseCloud: Summarizing and Refining Keyword Searches over Structured Data”, EDBT 2009, March 24–26, 2009, Saint Petersburg, Russia. Pp. 1132-1135
 Dimitrios Skoutas (2011),” Tag Clouds Revisited”, CIKM’11, October 24–28, 2011, Glasgow, Scotland, UK. Pp 221-230.
 Cong Wang, Ning Cao, Jin Li(2011),” Secure Ranked Keyword Search over Encrypted Cloud Data”.
 Ju-Chiang Wang (2011),” Colorizing Tags in Tag Cloud: A Novel Query-by-Tag Music Search System”, MM’11, November 28–December 1, 2011, Scottsdale, Arizona, USA.ACM p 293-302.
Keywords : — Keyword search, relevancy, visitor count, crawler