公开(公告)号：US10795724B2

公开(公告)日：2020-10-06

申请号：US15905847

申请日：2018-02-27

Applicant: Cisco Technology, Inc.

Inventor： Rohit Bahl ,  Debashish Ghosh ,  Stephen Williams

IPC: G06F9/48 ,  G06N5/04 ,  G06F9/50 ,  G06N20/00

Abstract: In one embodiment, a system includes: a plurality of cloud nodes implemented on computing devices, the plurality of cloud nodes configured to execute computing jobs in a cloud computing environment according to a schedule, a schedule optimizer configured to: use a machine learning model to determine functional intent for job requests according to at least job execution metadata, and generate a schedule recommendation for jobs associated with the job requests, where the schedule recommendation is generated based at least in part on the functional intent; and a job executor configured to provide the schedule recommendation as the schedule to the plurality of cloud nodes, where the schedule optimizer and the job executor are instantiated in memory and executed by processing circuitry on at least one computing device.

公开(公告)号：US12079660B2

公开(公告)日：2024-09-03

申请号：US18229615

申请日：2023-08-02

Applicant: Cisco Technology, Inc.

Inventor： Rohit Bahl ,  Stephen Williams ,  Debashish Ghosh

IPC: G06F9/48 ,  G06F9/50 ,  G06N3/086 ,  G06N3/126 ,  G06N3/12

CPC classification number: G06F9/4881 ,  G06F9/5038 ,  G06N3/126 ,  G06F9/4887 ,  G06N3/086 ,  G06N3/12

Abstract: Various techniques are used to schedule computing jobs for execution by a computing resource. In an example method, a schedule is generated by selecting, for a first slot in the schedule, a first computing job based on a first priority of the first computing job with respect to a first characteristic. A second computing job is selected for a second slot in the schedule based on a second priority of the second computing job with respect to a second characteristic. The second slot occurs after the first slot in the schedule, and the second characteristic is different than the first characteristic. The first characteristic or the second characteristic includes an execution frequency. The computing jobs are executed based on the schedule.

公开(公告)号：US11734062B2

公开(公告)日：2023-08-22

申请号：US17105422

申请日：2020-11-25

Applicant: Cisco Technology, Inc.

Inventor： Rohit Bahl ,  Stephen Williams ,  Debashish Ghosh

IPC: G06F9/48 ,  G06F9/50 ,  G06N3/126 ,  G06N3/086 ,  G06N3/12

CPC classification number: G06F9/4881 ,  G06F9/5038 ,  G06N3/126 ,  G06F9/4887 ,  G06N3/086 ,  G06N3/12

Abstract: Various techniques are used to schedule computing jobs for execution by a computing resource. In an example method, a schedule is generated by selecting, for a first slot in the schedule, a first computing job based on a first priority of the first computing job with respect to a first characteristic. A second computing job is selected for a second slot in the schedule based on a second priority of the second computing job with respect to a second characteristic. The second slot occurs after the first slot in the schedule, and the second characteristic is different than the first characteristic. The first characteristic or the second characteristic includes an execution frequency. The computing jobs are executed based on the schedule.

公开(公告)号：US20210081240A1

公开(公告)日：2021-03-18

申请号：US17105422

申请日：2020-11-25

Applicant: Cisco Technology, Inc.

Inventor： Rohit Bahl ,  Stephen Williams ,  Debashish Ghosh

IPC: G06F9/48 ,  G06F9/50 ,  G06N3/12

Abstract: Various techniques are used to schedule computing jobs for execution by a computing resource. In an example method, a schedule is generated by selecting, for a first slot in the schedule, a first computing job based on a first priority of the first computing job with respect to a first characteristic. A second computing job is selected for a second slot in the schedule based on a second priority of the second computing job with respect to a second characteristic. The second slot occurs after the first slot in the schedule, and the second characteristic is different than the first characteristic. The first characteristic or the second characteristic includes an execution frequency. The computing jobs are executed based on the schedule.

公开(公告)号：US10348828B2

公开(公告)日：2019-07-09

申请号：US15187594

申请日：2016-06-20

Applicant: CISCO TECHNOLOGY, INC.

Inventor： Rohit Bahl ,  Stephen Williams ,  Harsh Parandekar

IPC: G06F15/16 ,  H04L29/08 ,  G06N20/00 ,  H04L12/24 ,  H04L12/26

Abstract: In one embodiment, a method includes receiving at a network device comprising a data transfer optimization module, input identifying a source directory comprising data and a target directory at a storage device, splitting the data into a plurality of data groups for transfer to the storage device, transmitting the data groups concurrently to the storage device on data paths wherein transfer times of the data groups are monitored, receiving at the data transfer optimization module, identification of a data group with a longest transfer time, splitting the data group with the longest transfer time, and placing the data from the data group into at least two of the data groups for transfer to the storage device. An apparatus and logic are also disclosed herein.

公开(公告)号：US20240045715A1

公开(公告)日：2024-02-08

申请号：US18229615

申请日：2023-08-02

Applicant: Cisco Technology, Inc.

Inventor： Rohit Bahl ,  Stephen Williams ,  Debashish Ghosh

IPC: G06F9/48 ,  G06F9/50 ,  G06N3/126

CPC classification number: G06F9/4881 ,  G06F9/5038 ,  G06N3/126 ,  G06N3/086

Abstract: Various techniques are used to schedule computing jobs for execution by a computing resource. In an example method, a schedule is generated by selecting, for a first slot in the schedule, a first computing job based on a first priority of the first computing job with respect to a first characteristic. A second computing job is selected for a second slot in the schedule based on a second priority of the second computing job with respect to a second characteristic. The second slot occurs after the first slot in the schedule, and the second characteristic is different than the first characteristic. The first characteristic or the second characteristic includes an execution frequency. The computing jobs are executed based on the schedule.

公开(公告)号：US20170366611A1

公开(公告)日：2017-12-21

申请号：US15187594

申请日：2016-06-20

Applicant: CISCO TECHNOLOGY, INC.

Inventor： Rohit Bahl ,  Stephen Williams ,  Harsh Parandekar

IPC: H04L29/08 ,  H04L12/24 ,  H04L12/26 ,  G06N99/00

CPC classification number: H04L67/1097 ,  G06N20/00 ,  H04L41/16 ,  H04L43/0852 ,  H04L43/16 ,  H04L67/325

Abstract: In one embodiment, a method includes receiving at a network device comprising a data transfer optimization module, input identifying a source directory comprising data and a target directory at a storage device, splitting the data into a plurality of data groups for transfer to the storage device, transmitting the data groups concurrently to the storage device on data paths wherein transfer times of the data groups are monitored, receiving at the data transfer optimization module, identification of a data group with a longest transfer time, splitting the data group with the longest transfer time, and placing the data from the data group into at least two of the data groups for transfer to the storage device. An apparatus and logic are also disclosed herein.