Method and system for automatic access provisioning and scaling of robots

Patent metadata

Field	Value
Publication number	US-2022308554-A1
Application number	US-202117211067-A
Country	US
Kind code	A1
Filing date	Mar 24, 2021
Priority date	Mar 24, 2021
Publication date	Sep 29, 2022
Grant date	—

Abstract

A method for automatically scaling a number of robots leveraging interactive sessions to be used within a system infrastructure, dynamically based on workload, is provided. The method includes: receiving a request for a number of robots to be provisioned within the system infrastructure; validating an availability of the requested number of robots; monitoring a CPU utilization and a memory utilization within the system infrastructure; adjusting the requested number of robots based on the CPU utilization and/or the memory utilization; and releasing the adjusted number of robots for facilitating use thereof to perform corresponding tasks within the system infrastructure.

First claim

What is claimed is:

1 . A method for automatically scaling a number of robots to be used within a system infrastructure, the method being implemented by at least one processor, the method comprising:
receiving, by the at least one processor, a request for a number of robots to be provisioned within the system infrastructure; validating, by the at least one processor, an availability of the requested number of robots; monitoring, by the at least one processor, a central processing unit (CPU) utilization within the system infrastructure; monitoring, by the at least one processor, a memory utilization within the system infrastructure; adjusting, by the at least one processor, the requested number of robots based on at least one from among the CPU utilization and the memory utilization; and releasing, by the at least one processor, the adjusted number of robots for facilitating use thereof to perform corresponding tasks within the system infrastructure in response to the adjusting.

2 . The method of claim 1 , wherein the validating comprises determining, for each of the requested number of robots, whether a respective server configured to function as a virtual machine (VM) has a sufficient amount of available CPU bandwidth and a sufficient amount of available memory to validate the availability thereof.

3 . The method of claim 1 , wherein the adjusting comprises:
identifying an additional system infrastructure demand based on at least one from among the CPU utilization and the memory utilization; requesting at least one additional server based on the identified demand; modifying an infrastructure-as-code (IAC) configuration based on the request for the at least one additional server; and receiving additional robots based on the identified demand.

4 . The method of claim 3 , wherein the modifying of the IAC comprises triggering a continuous delivery pipeline to obtain the additional robots from the IAC.

5 . The method of claim 1 , wherein the adjusting is further based on satisfying a requirement of a service level agreement (SLA).

6 . The method of claim 1 , wherein the adjusting is further based on satisfying a threshold key performance indicator (KPI) value.

7 . The method of claim 1 , further comprising displaying, on a graphical user interface, an amount of CPU utilization as a function of time over a predetermined interval,
wherein the adjusting further comprises receiving a user input in response to the displaying of the amount of CPU utilization.

8 . The method of claim 1 , further comprising displaying, on a graphical user interface, an amount of memory utilization as a function of time over a predetermined interval,
wherein the adjusting further comprises receiving a user input in response to the displaying of the amount of memory utilization.

9 . A computing apparatus for automatically scaling a number of robots to be used within a system infrastructure, the computing apparatus comprising:
a processor; a memory; and a communication interface coupled to each of the processor and the memory, wherein the processor is configured to:
receive, via the communication interface, a request for a number of robots to be provisioned within the system infrastructure;
validate an availability of the requested number of robots;
monitor a central processing unit (CPU) utilization within the system infrastructure;
monitor a memory utilization within the system infrastructure;
adjust the requested number of robots based on at least one from among the CPU utilization and the memory utilization; and
release the adjusted number of robots for facilitating use thereof to perform corresponding tasks within the system infrastructure in response to the adjustment.

10 . The computing apparatus of claim 9 , wherein the processor is further configured to determine, for each of the requested number of robots, whether a respective server configured to function as a virtual machine (VM) has a sufficient amount of available CPU bandwidth and a sufficient amount of available memory to validate the availability thereof.

11 . The computing apparatus of claim 9 , wherein the processor is further configured to perform the adjustment by:
identifying an additional system infrastructure demand based on at least one from among the CPU utilization and the memory utilization; requesting at least one additional server based on the identified demand; modifying an infrastructure-as-code (IAC) configuration based on the request for the at least one additional server; and receiving additional robots based on the identified demand.

12 . The computing apparatus of claim 11 , wherein the processor is further configured to perform the modifying of the IAC by triggering a continuous delivery pipeline to obtain the additional robots from the IAC.

13 . The computing apparatus of claim 9 , wherein the processor is further configured to perform the adjusting based on satisfying a requirement of a service level agreement (SLA).

14 . The computing apparatus of claim 9 , wherein the processor is further configured to perform the adjusting based on satisfying a threshold key performance indicator (KPI) value.

15 . The computing apparatus of claim 9 , wherein the processor is further configured to:
display, on a graphical user interface, an amount of CPU utilization as a function of time over a predetermined interval; and perform the adjustment based on a user input that is received in response to the displaying of the amount of CPU utilization.

16 . The computing apparatus of claim 9 , wherein the processor is further configured to:
display, on a graphical user interface, an amount of memory utilization as a function of time over a predetermined interval; and perform the adjustment based on a user input that is received in response to the displaying of the amount of memory utilization.

17 . A non-transitory computer readable storage medium storing instructions for automatically scaling a number of robots to be used within a system infrastructure, the storage medium comprising executable code which, when executed by a processor, causes the processor to:
receive a request for a number of robots to be provisioned within the system infrastructure; validate an availability of the requested number of robots; monitor a central processing unit (CPU) utilization within the system infrastructure; monitor a memory utilization within the system infrastructure; adjust the requested number of robots based on at least one from among the CPU utilization and the memory utilization; and release the adjusted number of robots for facilitating use thereof to perform corresponding tasks within the system infrastructure in response to the adjusting.

18 . The storage medium of claim 17 , wherein the executable code is further configured to cause the processor to determine, for each of the requested number of robots, whether a respective server configured to function as a virtual machine (VM) has a sufficient amount of available CPU bandwidth and a sufficient amount of available memory to validate the availability thereof.

19 . The storage medium of claim 17 , wherein the executable code is further configured to cause the processor to:
identify an additional system infrastructure demand based on at least one from among the CPU utilization and the memory utilization; request at least one additional server based on the identified demand; modify an infrastructure-as-code (IAC) configuration based on the request for the at leas

Assignees

• Jpmorgan Chase Bank Na

Inventors

• Arora Mohit
• Salaria Rajeev
• Venkittan Sanjay
• Kappagantu Ravi

Classifications

• G06Q10/0631 Primary

  Resource planning, allocation, distributing or scheduling for enterprises or organisations · CPC title

• G06F16/93

  Document management systems · CPC title

• G05B19/4155 Primary

  characterised by program execution, i.e. part program or machine function execution, e.g. selection of a program · CPC title

• G05B2219/34348

  Coordination of operations, different machines, robots execute different tasks · CPC title

• B25J9/161

  Hardware, e.g. neural networks, fuzzy logic, interfaces, processor · CPC title