Watch this on-demand webinar about Apache Hadoop, (
https://dct.sun.com/dct/forms/reg_us_2005_941_0.jsp) a distributed computing platform that can use thousands of networked nodes to process vast amounts of data. In this webinar, you will learn how Sun's chip multithreading (CMT) technology-based UltraSPARC T2 Plus processor can process up to 256 tasks in parallel within a single node.
We will also share how we evaluated CPU and I/O throughput, memory size, and task counts to extract maximal parallelism per single node.
You will learn about:
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Scale How to use Hadoop to store and process petabytes of data
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Performance How to maximize parallelism per node, and the results of tests varying the number of nodes, and integrating Flash memory drives
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Virtualization How we created multiple virtual nodes using Solaris Containers
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Reliability How Hadoop automatically maintains multiple copies of data and redeploys tasks based on failures
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Deployment Options How Hadoop can be run in the "cloud" on Amazon EC2/3 services and in compute farms and high-performance computing (HPC) environments
If you have any questions or feedback, please send a message to newheights [at] sun.com.
Thank you,
Sun Microsystems, Inc.
P.S. Check out over 125 system configs available for free trial. Get our free catalog. (
http://communications1.sun.com/r/c/r?2.1.3J1.2U2.14QzVc.CLK%2aSS..N.GIqy.2Pte.aT1zZW5kbWFpbDJpcnZhbkB5YWhvby5jby5pZCZtbz0xBXMCIYf0 )
Topic: How to Scale Hadoop for MapReduce Applications (by SUN) (Read 1119 times)