RSSMSO rapid similarity search on metric space object stored in cloud environment

Raghavendra, S. and Nithyashree, K. and Geeta, C.M. and Rajkumar Buyya, . and Venugopal, K.R. and Iyengar, S.S. and Patnaik, L.M. (2016) RSSMSO rapid similarity search on metric space object stored in cloud environment. International Journal of Organizational and Collective Intelligence (IJOCI), 6 (3). pp. 33-49.

Full text not available from this repository.


This paper involves a cloud computing environment in which the dataowner outsource the similarity search service to a third party service provider. Privacy of the outsourced data is important because they may be confidential data. The data should be made available to the authorized client groups, but not to be revealed to the service provider in which the data is stored. Given this scenario, the paper presents a technique called RSSMSO which has build phase, query phase, data transformation and search phase. The build phase and the query phase are about uploading the data and querying the data respectively; the data transformation phase transforms the data before submitting it to the service provider for similarity queries on the transformed data; search phase involves searching similar object with respect to query object. The RSSMSO technique provides enhanced query accuracy with low communication …

Item Type: Article
Subjects: Faculty of Engineering > Computer Science & Information Science Engineering
Divisions: University Visvesvarayya College of Engineering > Department of Computer Science and Information Science Engineering
Depositing User: Ms Laxmi Kamble
Date Deposited: 16 Sep 2021 10:59
Last Modified: 16 Sep 2021 10:59

Actions (login required)

View Item View Item