Secure geospatial data storage using SpatialHadoop framework in cloud environment Online publication date: Mon, 05-Nov-2018
by S. Karthi; S. Prabu
International Journal of Internet Technology and Secured Transactions (IJITST), Vol. 8, No. 4, 2018
Abstract: Advancement in satellite remote sensing technology, leads to growth in data exponentially. Managing complex data have been made reasonable and simpler by geospatial information systems (GIS) by means of cloud employment. Processed geospatial data is stored in public cloud via secured platform. The main objective of this paper is to propose an efficient way of storing geospatial data using SpatialHadoop mechanism in cloud environment. Excessive measure request can be achieved by platform with better scalability by SpatialHadoop-GIS.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Internet Technology and Secured Transactions (IJITST):
Login with your Inderscience username and 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