公开(公告)号：US10452436B2

公开(公告)日：2019-10-22

申请号：US15861255

申请日：2018-01-03

Applicant: Cisco Technology, Inc.

Inventor： Rajesh Kumar ,  Amit Mittal ,  Anjali Gugle ,  Hetal N. Badheka ,  Vasantha K. Tammana ,  Priyatam Prasad Veyyakula

IPC: G06F9/44 ,  G06F9/48 ,  G06F9/50 ,  G06F11/34

Abstract: Disclosed is a method and system for using a credit-based approach to scheduling workload in a compute environment. The method includes determining server capacity and load of a compute environment and running a first benchmark job to calibrate a resource scheduler. The method includes partitioning, based on the calibration, the compute environment into multiple priority portions (e.g. first portion, second portion etc.) and optionally a reserve portion. Credits are assigned to allocate system capacity or resources per time quanta. The method includes running a benchmark job to calibrate a complexity of supported job types to be run in the compute environment. When a request for capacity is received, the workload is assigned one or more credits and credits are withdrawn from the submitting entity's account for access to the compute environment at a scheduled time.

公开(公告)号：US10949257B2

公开(公告)日：2021-03-16

申请号：US16576637

申请日：2019-09-19

Applicant: Cisco Technology, Inc.

Inventor： Rajesh Kumar ,  Amit Mittal ,  Anjali Gugle ,  Hetal N. Badheka ,  Vasantha K. Tammana ,  Priyatam Prasad Veyyakula

IPC: G06F9/46 ,  G06F9/48 ,  G06F9/50 ,  G06F11/34

Abstract: Disclosed is a method and system for using a credit-based approach to scheduling workload in a compute environment. The method includes determining server capacity and load of a compute environment and running a first benchmark job to calibrate a resource scheduler. The method includes partitioning, based on the calibration, the compute environment into multiple priority portions (e.g. first portion, second portion etc.) and optionally a reserve portion. Credits are assigned to allocate system capacity or resources per time quanta. The method includes running a benchmark job to calibrate a complexity of supported job types to be run in the compute environment. When a request for capacity is received, the workload is assigned one or more credits and credits are withdrawn from the submitting entity's account for access to the compute environment at a scheduled time.

公开(公告)号：US20200012523A1

公开(公告)日：2020-01-09

申请号：US16576637

申请日：2019-09-19

Applicant: Cisco Technology, Inc.

Inventor： Rajesh Kumar ,  Amit Mittal ,  Anjali Gugle ,  Hetal N. Badheka ,  Vasantha K. Tammana ,  Priyatam Prasad Veyyakula

IPC: G06F9/48 ,  G06F9/50 ,  G06F11/34

Abstract: Disclosed is a method and system for using a credit-based approach to scheduling workload in a compute environment. The method includes determining server capacity and load of a compute environment and running a first benchmark job to calibrate a resource scheduler. The method includes partitioning, based on the calibration, the compute environment into multiple priority portions (e.g. first portion, second portion etc.) and optionally a reserve portion. Credits are assigned to allocate system capacity or resources per time quanta. The method includes running a benchmark job to calibrate a complexity of supported job types to be run in the compute environment. When a request for capacity is received, the workload is assigned one or more credits and credits are withdrawn from the submitting entity's account for access to the compute environment at a scheduled time.

公开(公告)号：US20190205164A1

公开(公告)日：2019-07-04

申请号：US15861255

申请日：2018-01-03

Applicant: Cisco Technology, Inc.

Inventor： Rajesh Kumar ,  Amit Mittal ,  Anjali Gugle ,  Hetal N. Badheka ,  Vasantha K. Tammana ,  Priyatam Prasad Veyyakula

IPC: G06F9/48 ,  G06F9/50 ,  G06F11/34

CPC classification number: G06F9/4881 ,  G06F9/5011 ,  G06F9/505 ,  G06F9/5072 ,  G06F9/5083 ,  G06F11/3428

Abstract: Disclosed is a method and system for using a credit-based approach to scheduling workload in a compute environment. The method includes determining server capacity and load of a compute environment and running a first benchmark job to calibrate a resource scheduler. The method includes partitioning, based on the calibration, the compute environment into multiple priority portions (e.g. first portion, second portion etc.) and optionally a reserve portion. Credits are assigned to allocate system capacity or resources per time quanta. The method includes running a benchmark job to calibrate a complexity of supported job types to be run in the compute environment. When a request for capacity is received, the workload is assigned one or more credits and credits are withdrawn from the submitting entity's account for access to the compute environment at a scheduled time.