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Title: SEMIANR REPORT ON MapReduce Simplified Data Processing On Large Clusters
Page Link: SEMIANR REPORT ON MapReduce Simplified Data Processing On Large Clusters -
Posted By: super
Created at: Wednesday 17th of June 2009 01:47:00 PM
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SEMIANR REPORT ON MapReduce: Simplified Data Processing On Large Clusters

Abstract
In the new era of computing, instead of buying software for satisfying the computing needs of users, millions are rely on the Internet. Internet services are already significant forces in searching, retail purchases music downloads and auctions. But the web data sets are large and the computations have to be distributed across ....etc

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Title: HADOOP
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Posted By: pri_niture
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Title: HADOOP
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Created at: Tuesday 19th of July 2011 12:46:12 PM
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INTRODUCTION
Computing in its purest form, has changed hands multiple times. First, from near the beginning mainframes were predicted to be the future of computing. Indeed mainframes and large scale machines were built and used, and in some circumstances are used similarly today. The trend, however, turned from bigger and more expensive, to smaller and more affordable commodity PCs and servers.
Most of our data is stored on local networks with servers that may be clustered and sharing storage. This approach has had ....etc

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Title: Distributed Computing Seminar
Page Link: Distributed Computing Seminar -
Posted By: seminar paper
Created at: Monday 12th of March 2012 05:14:57 PM
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Distributed Computing Seminar


Motivating Concepts



Performing computation on a graph data structure requires processing at each node
Each node contains node-specific data as well as links (edges) to other nodes
Computation must traverse the graph and perform the computation step

How do we traverse a graph in MapReduce? How do we represent the graph for this?


Breadth-First Search


Breadth-First Search is an iterated algorithm over gra ....etc

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Title: uml diagram for hadoop mapreduce
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Title: Distributed Image Processing using hadoop MapReduce framework
Page Link: Distributed Image Processing using hadoop MapReduce framework -
Posted By: seminar presentation
Created at: Saturday 01st of May 2010 10:43:38 PM
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Distributed Image Processing using Hadoop MapReduce framework
Presented By:
Binoy A Fernandez
Sameer Kumar
Distributed Image Processing
Objective

To demonstrate how the hadoop mapreduce framework can be extended to work with image data for distributed image processing.
Distributed Sobel Edge Detection algorithm
Easy to understand and implement, and at the same time, it is computationally expensive.
Has the property th ....etc

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Title: CLOUD COMPUTING
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Posted By: computer science crazy
Created at: Sunday 20th of September 2009 06:37:00 PM
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CLOUD COMPUTING

1. Abstract

This paper describes cloud computing, a computing platform for the next generation of the Internet. The paper defines clouds, explains the business benefits of cloud computing, and outlines cloud architecture and its major components. Readers will discover how a business can use cloud computing to foster innovation and reduce IT costs. IntroductionEnterprises strive to reduce computing costs. Many start by consolidating their IT operations and later introducing virtualization technologies. Cloud computing take ....etc

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Title: SEMIANR REPORT ON MapReduce Simplified Data Processing On Large Clusters
Page Link: SEMIANR REPORT ON MapReduce Simplified Data Processing On Large Clusters -
Posted By: super
Created at: Wednesday 17th of June 2009 01:47:00 PM
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DOWNLOAD THE SEMINAR REPORT

SEMIANR REPORT ON MapReduce: Simplified Data Processing On Large Clusters

Abstract
In the new era of computing, instead of buying software for satisfying the computing needs of users, millions are rely on the Internet. Internet services are already significant forces in searching, retail purchases music downloads and auctions. But the web data sets are large and the computations have to be distributed across ....etc

[:=Read Full Message Here=:]
Title: HADOOP
Page Link: HADOOP -
Posted By: pri_niture
Created at: Friday 12th of March 2010 06:23:08 PM
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Title: Exploiting Dynamic Resource Allocation for Efficient Parallel Data Processing
Page Link: Exploiting Dynamic Resource Allocation for Efficient Parallel Data Processing -
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Created at: Wednesday 04th of May 2011 01:10:20 PM
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Abstract—
In recent years ad-hoc parallel data processing has emerged to be one of the killer applications for Infrastructure-as-a-Service (IaaS) clouds. Major Cloud computing companies have started to integrate frameworks for parallel data processing in theirproduct portfolio, making it easy for customers to access these services and to deploy their programs. However, the processingframeworks which are currently used have been designed for static, homogeneous cluster setups and disregard the particular natureof a cloud. Consequently ....etc

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Title: Distributed Image Processing using hadoop MapReduce framework
Page Link: Distributed Image Processing using hadoop MapReduce framework -
Posted By: seminar presentation
Created at: Saturday 01st of May 2010 10:43:38 PM
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Distributed Image Processing using Hadoop MapReduce framework
Presented By:
Binoy A Fernandez
Sameer Kumar
Distributed Image Processing
Objective

To demonstrate how the hadoop mapreduce framework can be extended to work with image data for distributed image processing.
Distributed Sobel Edge Detection algorithm
Easy to understand and implement, and at the same time, it is computationally expensive.
Has the property th ....etc

[:=Read Full Message Here=:]
Title: HADOOP
Page Link: HADOOP -
Posted By: pri_niture
Created at: Friday 12th of March 2010 06:23:08 PM
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Title: HADOOP
Page Link: HADOOP -
Posted By: pri_niture
Created at: Friday 12th of March 2010 06:23:08 PM
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