Systems and Methods for Efficient Data Preprocessing of Machine Learning Workloads
US-2024403138-A1 · Dec 5, 2024 · US
US9106659B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9106659-B2 |
| Application number | US-201414188037-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 24, 2014 |
| Priority date | Nov 17, 2011 |
| Publication date | Aug 11, 2015 |
| Grant date | Aug 11, 2015 |
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The present invention extends to methods, systems, and computer program products for decoupling cluster data from cloud deployment. The decoupling facilitates taking down and reattaching a cluster to persisted data as needed. Other embodiments of the invention include resuming a cluster's execution on a different topology and/or different system states based on a persisted data set.
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What is claimed is: 1. One or more computer hardware storage device for use in a computing environment in which a computer system with one or more processors interoperates with one or more other computer systems in a distributed system, the one or more computer hardware storage device having stored computer-executable instructions which, when executed by the one or more processors, implement a method for resuming execution of a cluster from saved cluster data, wherein the method in…
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