Invention Grant
- Patent Title: Data-driven task-execution scheduling using machine learning
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Application No.: US18104256Application Date: 2023-01-31
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Publication No.: US11755576B1Publication Date: 2023-09-12
- Inventor: Qiming Jiang , Orestis Kostakis , John Reumann
- Applicant: Snowflake Inc.
- Applicant Address: US MT Bozeman
- Assignee: Snowflake Inc.
- Current Assignee: Snowflake Inc.
- Current Assignee Address: US MT Bozeman
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/2453 ; G06F16/27

Abstract:
A system for improving task scheduling on a cloud data platform is provided. A task is received, from a user of a cloud data platform, for execution on a dataset of a cloud data platform using a plurality of resources. A task graph is generated, and metadata related to the dataset is accessed for use in execution of the task. A predicted resource profile is generated by applying a first machine learning scheme to the task graph and the metadata of the dataset. Assignment data is generated to execute processes of the task on the plurality of resources. The assignment data generated by applying a second machine learning scheme to current state data of a current computational state of the plurality of resources and the predicted resource profile generated by the first machine learning scheme.
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