Visual studio feeds

All Visual Studio blogs in one place

Subscribe

Enter your email address:

Delivered by FeedBurner

Increase your website traffic with Attracta.com

Google+

Contact

Email:
Subject:
Message:
Anti-spam: How many eyes has a typical person?

Follow us on FB

Search

Daytona - Iterative MapReduce on Windows Azure

AddThis Social Bookmark Button
Daytona - Iterative MapReduce on Windows Azure Overview MapReduce is a framework for processing highly distributable problems across huge datasets using a large number of compute nodes. It is a generic mechanism that comprises 2 steps: Map step: The master node takes the input, partitions it up into smaller sub-problems, and distributes them to worker nodes. The worker node processes the smaller problem, and passes the answer back to its master node. Reduce step: The master node then collects the answers to all the sub-problems and combines them in some way
to form the output – the answer to the problem it was originally trying to solve. Microsoft has developed an iterative MapReduce runtime for Windows Azure, code-named "Daytona.". It can be downloaded here: http://research.microsoft.com/en-us/downloads/cecba376-3d3f-4eaf-bf01-20983857c2b1/default.aspx Daytona can scale out computations for analysis of distributed data. Developers can use this to construct distributed computing cloud data-analysis services on Windows Azure. This is Microsoft's implementation of Hadoop; the competing distributed computing infrastructure + API of Dryad + LINQ to HPC is now redundant. An application has already been developed that leverages this infrastructure -...(Read whole news on source site)

Home : Blog List : Josh Reuben : Daytona - Iterative MapReduce on Windows Azure