ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

Big Data Analysis with Query Optimization Results in Secure Cloud

Proceeding: Third International Conference on Data Mining, Internet Computing, and Big Data (BigData2016)

Publication Date:

Authors : ;

Page : 101-110

Keywords : Cloud Computing; Cloud Provider; Data Sharing; Big Data; Data Storage;

Source : Downloadexternal Find it from : Google Scholarexternal

Abstract

Cloud data storage is a problem solving and explore potential solutions for the provision of long-term storage and access to data sharing, focusing on the data that can be used by various agencies and widely use. Availability in cloud computing provides a broad selection of data preservation. Contrary to provide infrastructure within an organization, which usually require a long time and upfront capital investment, cloud computing infrastructure is available upon request and is highly scalable. However, the use of commercial cloud computing services in particular raises governance issues, cost effectiveness, safety, data storage and high-capacity access. Through the study, the system requires data that can be accessed and the time to respond immediately when a data inquiry is carried out. iDana TTB system is a system which gives added value to the government and the people. This system facilitates requests for assistance by citizens and in the meantime the government can assess the extent of the needs and current living standards of the people who need help. To provide the best service to the people of this system is proposed to be upgraded to ensure the safety and accuracy of the data could be improved. Big Data can be generated from this system will be used as a measure of the success of the program and help the government to change the people's living standards over time. This paper discusses some of the techniques of cloud environment that can be used to optimize the use of data in an efficient and streamlined.

Last modified: 2016-07-21 23:50:04