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US Patent 11989186 Scalable architecture for a distributed time-series database

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
119891861
Patent Inventor Names
Gaurav Gupta1
Timothy A. Rath1
Mustafa Ozan Ozen1
Omer Ahmed Zaki1
Date of Patent
May 21, 2024
1
Patent Application Number
161990781
Date Filed
November 23, 2018
1
Patent Citations
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US Patent 8601112 Method and system for collecting and analyzing time-series data
1
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US Patent 9773015 Dynamically varying the number of database replicas
1
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US Patent 9817727 Failover and recovery for replicated data instances
1
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US Patent 9836492 Variable sized partitioning for distributed hash tables
1
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US Patent 9934107 Designating backup nodes and backing up in parallel in a high-availability environment
1
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US Patent 10007513 Edge intelligence platform, and internet of things sensor streams system
1
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US Patent 10459827 Machine-learning based anomaly detection for heterogenous data sources
1
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US Patent 10776355 Managing, storing, and caching query results and partial query results for combination with additional query results
1
...
Patent Primary Examiner
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Sherief Badawi
1
CPC Code
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G06F 16/24568
1
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G06F 16/287
1
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G06F 16/278
1
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G06F 16/252
1
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G06F 16/2455
1
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G06F 16/27
1
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G06F 16/25
1
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G06F 3/0644
1
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Patent abstract

Methods, systems, and computer-readable media for a scalable architecture for a distributed time-series database are disclosed. Using a fleet of ingestion routers, time-series data generated by a plurality of client devices is stored into a plurality of durable partitions. The time-series data comprises a plurality of time series, and an amount of the ingestion routers is determined based at least in part on an ingestion rate of the time-series data. Using a fleet of stream processors, the time-series data from the durable partitions is stored into a plurality of storage tiers including a first storage tier and a second storage tier. A retention period for the first storage tier differs from a retention period for the second storage tier. An amount of the stream processors is determined based at least in part on the time-series data in the durable partitions.

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