Platform and software framework for data intensive applications in the cloud
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United States of America Patent
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Oct 20, 2020
Grant Date -
Apr 20, 2017
app pub date -
Oct 31, 2016
filing date -
May 1, 2013
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Abstract
A system deploys visualization tools, business analytics software, and big data software in a multi-instance mode on a large, coherent shared memory many-core computing system. The single machine solution provides or high performance and scalability and may be implemented remotely as a large capacity server (i.e., in the cloud) or locally to a user. Most big data software running in a single instance mode has limitations in scalability when running on a many-core and large coherent shared memory system. A configuration and deployment technique using a multi-instance approach, which also includes visualization tools and business analytics software, maximizes system performance and resource utilization, reduces latency and provides scalability as needed, for end-user applications in the cloud.
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