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

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

Organization Name

VMWARE, INC.

Inventor(s)

EROL Aygar of Maynard MA (US)

Nilanjan Daw of Bangalore (IN)

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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