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Patent drawing for Scalable cloud-based time series analysis
US 10,331,490 B2
Computing US 10,331,490 B2 Not in force

Scalable cloud-based time series analysis

This invention describes a method for analyzing massive amounts of time-stamped data efficiently. It works by distributing the data across many interconnected computers, which then sort and process their assigned portions using a pre-defined script that is compiled on each machine. This allows for rapid analysis of large datasets by leveraging parallel processing across an expandable network of computers.

Why it matters: Filed when cloud-based distributed processing was still evolving. Today, managed cloud services and serverless architectures have significantly simplified the deployment and scaling of such 'grid-computing devices', making the underlying infrastructure more accessible and cost-effective to implement.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedDistributed software system, parallel processing, data partitioning

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