Cloud Computing Platform for Applications on Database
Date Issued
2011
Date
2011
Author(s)
Chen, Jing-Siang
Abstract
Context-Aware is one of the main focuses in the research field of modern computer science. While embedded computing technology had improved, micro-sensor devices have gradually gained their presence in our lives. However, the commonly seen RDBMS (Relational Database Management System) nowadays cannot handle the large quantities of continuously generated sensor data. The extendibility of databases on Cloud Computing platform Hadoop can solve this problem, but the feature of Cloud Computing, DFS (Distributed File System), requires the users to learn new ways of managing databases.
This thesis not only presents a RDBMS on Cloud Computing platform which shows the user how to manage the database with JDBC driver and SQL (Structured Query Language), but also explains how to use the advantages of Cloud Computing platform to improve the elasticity and reliability of database.
Subjects
Context-Aware
Cloud Computing
Map/Reduce
RDBMS
Type
thesis
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