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Research Projects on Windows Azure

Getting started using the Windows Azure platform in your research? The projects below provide examples of how other researchers have used Windows Azure and related resources to help you architect and deploy your research applications.  

Project Daytona on Windows Azure 

Project Daytona on Windows Azure 

Microsoft has developed an iterative MapReduce runtime for Windows Azure, code-named "Daytona." Project Daytona is designed to support a wide class of data analytics and machine learning algorithms. It can scale out to hundreds of server cores for analysis of distributed data.

 

Excel DataScope

Excel DataScope
This tool accelerates data-driven decision making. It offers data analytics, machine learning, and information visualization by using Windows Azure for data and compute-intensive tasks. Its powerful analysis techniques are applicable to any type of data, ranging from web analytics to survey, environmental, or social data.
 

NCBI BLAST on Windows Azure

NCBI BLAST on Windows Azure
Built on Windows Azure, this cloud-based implementation of the Basic Local Alignment Search Tool (BLAST) searches all available sequence databases for similarities between a protein or DNA query and known sequences. 
 

MODISAzure

MODISAzure
This science pipeline for the download, processing, and reduction of diverse satellite imagery uses Windows Azure to deliver the results of massive cloud computational power to the desktops of researchers.  
 

AzureScope

AzureScope
This benchmarking suite provides the results of regularly running benchmarks on the Windows Azure platform to help you architect and deploy your research applications and services on Windows Azure. Includes best practices and code samples.