View source for 20240039809. RIGHT-SIZING CONTAINERIZED WORKLOADS RUNNING ON EDGE DEVICES TO MEET WORKLOAD SERVICE LEVEL AGREEMENT ADAPTIVELY simplified abstract (VMWARE, INC.)

=RIGHT-SIZING CONTAINERIZED WORKLOADS RUNNING ON EDGE DEVICES TO MEET WORKLOAD SERVICE LEVEL AGREEMENT ADAPTIVELY=


==Organization Name==

[[:Category:VMWARE, INC.|VMWARE, INC.]]


[[Category:VMWARE, INC.]]

==Inventor(s)==

[[:Category:EROL Aygar of Maynard MA (US)|EROL Aygar of Maynard MA (US)]][[Category:EROL Aygar of Maynard MA (US)]]

[[:Category:Nilanjan Daw of Bangalore (IN)|Nilanjan Daw of Bangalore (IN)]][[Category:Nilanjan Daw of Bangalore (IN)]]

[[:Category:Raunak Ravindra Singwi of Pune (IN)|Raunak Ravindra Singwi of Pune (IN)]][[Category:Raunak Ravindra Singwi of Pune (IN)]]

==RIGHT-SIZING CONTAINERIZED WORKLOADS RUNNING ON EDGE DEVICES TO MEET WORKLOAD SERVICE LEVEL AGREEMENT ADAPTIVELY - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240039809 titled 'RIGHT-SIZING CONTAINERIZED WORKLOADS RUNNING ON EDGE DEVICES TO MEET WORKLOAD SERVICE LEVEL AGREEMENT ADAPTIVELY

==Simplified Explanation==

The patent application describes computer-implemented methods, media, and systems for optimizing containerized workloads running on edge devices. Here is a simplified explanation of the abstract:

* The method involves receiving a manifest file that includes service level agreement (SLA) requirements and resource allocation limits for running the workload on a software-defined wide area network (SD-WAN) edge device.
* The workload is started on the SD-WAN edge device based on the manifest file.
* Telemetry data from the SD-WAN edge device is monitored, which includes resource usage data for running the workload.
* A model for the resource usage behavior of the workload on the SD-WAN edge device is established using the monitored telemetry data.
* Updated resource allocation limits for running the workload on the SD-WAN edge device are displayed based on the established model.

Potential applications of this technology:

* Optimization of containerized workloads running on edge devices in SD-WAN environments.
* Efficient resource allocation for running workloads on SD-WAN edge devices.
* Monitoring and analysis of telemetry data to establish resource usage behavior models.

Problems solved by this technology:

* Ensuring that containerized workloads running on edge devices meet SLA requirements.
* Optimizing resource allocation to prevent overutilization or underutilization of edge devices.
* Providing real-time insights into resource usage behavior for better workload management.

Benefits of this technology:

* Improved performance and efficiency of containerized workloads on edge devices.
* Enhanced control and management of resource allocation in SD-WAN environments.
* Real-time monitoring and analysis of telemetry data for proactive decision-making.


==Original Abstract Submitted==

computer-implemented methods, media, and systems for right-sizing containerized workloads running on edge devices are disclosed. one example method includes receiving a manifest file including one or more runtime service level agreement (sla) requirements and one or more upper bounds on resource allocation for running the workload on a software defined wide area network (sd-wan) edge device. the workload on the sd-wan edge device is started based on the manifest file. telemetry data from the sd-wan edge device is monitored, where the telemetry data includes resource usage data for running the workload on the sd-wan edge device. a model for resource usage behavior of the workload running on the sd-wan edge device is established based on the monitored telemetry data. one or more updated upper bounds on resource allocation for running the workload on the sd-wan edge device are displayed based on the established model.



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