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New white paper: Big Data performance on VMware Cloud on AWS: Spark machine learning and IoT analytics performance on-premises and in the cloud

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By Dave Jaffe

A new white paper is available comparing Spark machine learning performance on an 8-server on-premises cluster vs. a similarly configured VMware Cloud on AWS cluster.

Here is what the VMware Cloud on AWS cluster looked like:

Screenshot of cluster configuration

VMware Cloud on AWS configuration for performance tests

Three standard analytic programs from the Spark machine learning library (MLlib), K-means clustering, Logistic Regression classification, and Random Forest decision trees, were driven using spark-perf. In addition, a new, VMware-developed benchmark, IoT Analytics Benchmark, which models real-time machine learning on Internet-of-Things data streams, was used in the comparison. The benchmark is available from GitHub.

As seen in the charts below, performance was very similar on-premises and on VMware Cloud on AWS.

Spark machine learning performance chart

Spark machine learning performance

IoT Analytics performance chart

IoT Analytics performance

 

All details are in the paper.

The post New white paper: Big Data performance on VMware Cloud on AWS: Spark machine learning and IoT analytics performance on-premises and in the cloud appeared first on VMware VROOM! Blog.


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