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US Patent 10474501 Serverless execution of code using cluster resources

Patent 10474501 was granted and assigned to Databricks on November, 2019 by the United States Patent and Trademark Office.

Overview Structured Data Issues Contributors

Is a

Patent attributes

Patent Applicant

Current Assignee

Patent Jurisdiction

United States Patent and Trademark Office

Patent Number

Patent Inventor Names

Srinath Shankar44

Matei Zaharia44

Sameer Paranjpye44

Shi Xin44

Ali Ghodsi44

Date of Patent

November 12, 2019

Patent Application Number

15581987

Date Filed

April 28, 2017

Patent Citations Received

US Patent 12117997 Auxiliary query commands to deploy predictive data models for queries in a networked computing platform

1

US Patent 11516096 Automatically managing performance of software in a distributed computing environment

US Patent 11513772 System and method of providing an interactive development platform in a distributed computing environment

4

US Patent 11934886 Intra-footprint computing cluster bring-up

5

US Patent 11941140 Platform management of integrated access of public and privately-accessible datasets utilizing federated query generation and query schema rewriting optimization

6

US Patent 11947529 Generating and analyzing a data model to identify relevant data catalog data derived from graph-based data arrangements to perform an action

7

US Patent 11947554 Loading collaborative datasets into data stores for queries via distributed computer networks

8

US Patent 11947600 Content addressable caching and federation in linked data projects in a data-driven collaborative dataset platform using disparate database architectures

9

...

Patent Primary Examiner

Patent abstract

A system for cluster resource allocation includes an interface and a processor. The interface is configured to receive a process and input data. The processor is configured to determine an estimate for resources required for the process to process the input data; determine existing available resources in a cluster for running the process; determine whether the existing available resources are sufficient for running the process; in the event it is determined that the existing available resources are not sufficient for running the process, indicate to add new resources; determine an allocated share of resources in the cluster for running the process; and cause execution of the process using the share of resources.

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