Transcript Author : Taylor, Ronald C Research Paper Title: “An

Research Paper Title:
An overview of the Hadoop/MapReduce/HBase framework
and its current applications in bioinformatics
Author : Taylor, Ronald C
Published at:
The 11th Annual Bioinformatics Open Source Conference (BOSC) 2010
Boston, MA, USA. 9-10 July 2010
Academic Journal, BMC Bioinformatics.
DOI: 10.1186/1471-2105-11-S12-S1.
Academic Search
Topic Chosen by:
Qing Sun
Harini Chilamantula
Sivagami Nachiyappan
7/16/2015
Background Information
 Nowadays, data centers are consuming a lot of energy for big data to
store and to maintain, but not in an efficient fashion.
 There are several types of waste at different levels
o
space for keeping large servers (data centers),
o
effort for maintain,
o
infrastructure,
o
machine,
o
system level waste (resource waste) .
About Hadoop
 Hadoop Map/Reduce is a software framework for easily writing
applications which process vast amount of data in parallel on large
clusters of commodity hardware.
 Hadoop is a large scale distributed file system modeled after the Google
File System.
 The key feature of Hadoop is fault- tolerance to the hardware failures.
 By using Hadoop, we can run terabytes of data and applications on
thousands of nodes in the network.
 Hadoop implements MapReduce, a programming model, using the
Hadoop Distributed File System (HDFS).
MapReduce in Big Data Analysis
 MapReduce is used to divide the large applications into small
blocks and distribute them to the other nodes in the network.
 Master node will collect all the solutions back.
Benefits of Hadoop
 Easily process vast amount of data in parallel on large clusters
 It provides more scalability
 Volume – Terabytes, petabytes and beyond.
 Velocity – Speed access, Real-Time Data Analytics.
 Variety – Centralized (Data moves to Analytics), Distributed (Analytics moves
to Data).
 Value – Graph Algorithm, predictive Machine Learning, Commodity Hardware.
Conclusion
 Hadoop is already a key to delivering
on the promise of bioinformatics.
 The Hadoop is also in the process of
Suggestions
 It would have made easy to
understand if they have any
Pictorial representations.
providing a platform in which it is
easy to analyze and integrate the
various large, disparate data sources
into one data warehouse.
 In near feature Hadoop hold some
more incridible contributions,
regarding store and process complex
data
 When you have OLTP needs.
MR is not suitable for a large
number of short on-line
transactions .
 Using MR is time consuming.
Term Project Proposal
 Title: APP’s Search Application
 Team Members:
Qing Sun
Harini Chilamantula
Sivagami Nachiyappan
Faculty Advisor – Dr. Meiliu Lu
CSC Department – Fall 2013
California State University, Sacramento
Project Motivations
 This search application is designed for iphone, Android,
Windows, Tizen, VBM, Meego and ipad apps
 It includes utility applications, performance applications,
gamming applications.
 It is a Search- based application for an app.
 It is the faster and easier way to search different Operating
System supportable apps at one common place.
Goals of Project
 This application can display the requirements of a
user required app and can also connect user to
appropriate web page to download the app from the
app store.
 By using app search application user can know the
features, details, how to use and availability of
particular apps.
How we reach our goals for a successful project
 Design an Online Transactional Processing (OLTP)
application to get details of various applications from their
respective websites and display the result of the query in a
webpage.
 Design an Online Analytical Processing (OLAP) to integrate
the data from various data sources, create our own data
mart and display the results of the customer’s query on a
webpage.
 Extract data from various data sources, transform the data
and present the data.
Project Schedule
OBJECTIVES
WEEK
10
Project Proposal
11
Group Task Assignments / Data collection
12
Progress Peport / Design Task
13
Create Presentation Slides / Build initial website
14
Presentation Practice / Project Presentation
15
Prepare Final Written Repoet
References:
 http://spectrum.ieee.org/automaton/robotics/robotics-software/cloud-robotics
 https://developers.facebook.com/docs/guides/appcenter/
 http://apphelp.copilotlive.com/copilot/en-US/?platform=android
 http://copilotlive.com/us/personal/android.asp
 http://copilotlive.com/us/store/android.asp
 http://www.biomedcentral.com/1471-2105/11/S12/S1
 http://link.springer.com/article/10.1186%2F1471-2105-11-S12-S1
 http://www.roadsideamerica.com/mobile/roadside/ios/

http://www.roadsideamerica.com/mobile/roadside/ios/faq
 http://stackoverflow.com/questions/18585839/what-are-the-disadvantages-of-mapreduce