Welcome To UTPedia

We would like to introduce you, the new knowledge repository product called UTPedia. The UTP Electronic and Digital Intellectual Asset. It stores digitized version of thesis, dissertation, final year project reports and past year examination questions.

Browse content of UTPedia using Year, Subject, Department and Author and Search for required document using Searching facilities included in UTPedia. UTPedia with full text are accessible for all registered users, whereas only the physical information and metadata can be retrieved by public users. UTPedia collaborating and connecting peoples with university’s intellectual works from anywhere.

Disclaimer - Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.Best viewed using Mozilla Firefox 3 or IE 7 with resolution 1024 x 768.

Modeling and Analyzing the Power Consumption in Query Processing For Distributed Database

Teh , Pey Si (2012) Modeling and Analyzing the Power Consumption in Query Processing For Distributed Database. UNIVERSITI TEKNOLOGI PETRONAS, UNIVERSITI TEKNOLOGI PETRONAS. (Unpublished)

[img]
Preview
PDF
Download (1736Kb) | Preview

Abstract

Green computing has been generally practiced in almost all kind of fields especially in the recent years as environmental sustainability is getting more important. High power consumption increases the carbon emission which is adverse to the environment. This project focuses on applying green computing in query processing specifically for distributed database in healthcare industry. The information about a patient is stored in the database of the hospital the patient visited. However, currently this information is not being shared among hospitals which are crucial for diagnosis purpose. Hence, the objective of this project is to model the process of data retrieval from database distributed at different hospitals by using different query processing strategies and analyzes the energy consumption to access data from these distributed databases. Two strategies are used to retrieve the distributed data during simulation which are complete replication and horizontal fragmentation. Based on the analyzed result from the simulation, the identified energy-efficient strategy is complete replication which consumed lower power consumption by enabling local access to data stored in distributed database.

Item Type: Final Year Project
Academic Subject : Academic Department - Information Communication Technology
Subject: UNSPECIFIED
Divisions: Sciences and Information Technology
Depositing User: Sharifah Fahimah Saiyed Yoep
Date Deposited: 01 Apr 2013 11:34
Last Modified: 25 Jan 2017 09:40
URI: http://utpedia.utp.edu.my/id/eprint/6335

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...