20240039806. INTER-CLUSTER AUTOMATED FAILOVER AND MIGRATION OF CONTAINERIZED WORKLOADS ACROSS EDGES DEVICES simplified abstract (VMWARE, INC.)

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INTER-CLUSTER AUTOMATED FAILOVER AND MIGRATION OF CONTAINERIZED WORKLOADS ACROSS EDGES DEVICES

Organization Name

VMWARE, INC.

Inventor(s)

RAUNAK RAVINDRA Singwi of Pune (IN)

Daniel Beveridge of Valrico FL (US)

Erol Aygar of Maynard MA (US)

Nilanjan Daw of Bangalore (IN)

Sairam Veeraswamy of Coimbatore (IN)

INTER-CLUSTER AUTOMATED FAILOVER AND MIGRATION OF CONTAINERIZED WORKLOADS ACROSS EDGES DEVICES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240039806 titled 'INTER-CLUSTER AUTOMATED FAILOVER AND MIGRATION OF CONTAINERIZED WORKLOADS ACROSS EDGES DEVICES

Simplified Explanation

The patent application describes computer-implemented methods, media, and systems for automated failover and migration of containerized workloads across edge devices in a software-defined wide area network (SD-WAN).

  • The method involves monitoring telemetry data from a first SD-WAN edge device that has a scheduled workload. The telemetry data includes information about the health status of the workload or multiple runtime context elements at the edge device.
  • If a failure occurs either with the edge device or the workload, the method determines the mode of the failure.
  • Based on the determined mode of the failure and the current state of the workload, a remediation process is performed.

Potential applications of this technology:

  • Efficient failover and migration of containerized workloads across edge devices in a SD-WAN environment.
  • Improved reliability and availability of workloads in distributed computing systems.
  • Automation of workload management and recovery processes in edge computing environments.

Problems solved by this technology:

  • Ensures continuous availability of workloads by automatically detecting and responding to failures in edge devices or workloads.
  • Reduces manual intervention and human errors in managing and recovering workloads in distributed computing systems.
  • Optimizes resource utilization and workload distribution across edge devices in a SD-WAN environment.

Benefits of this technology:

  • Enhanced reliability and fault tolerance of containerized workloads in edge computing environments.
  • Improved performance and responsiveness of distributed computing systems by minimizing downtime during failover and migration processes.
  • Simplified management and administration of workloads in a SD-WAN environment through automated remediation processes.


Original Abstract Submitted

computer-implemented methods, media, and systems for inter-cluster automated failover and migration of containerized workloads across edges devices are disclosed. one example method includes monitoring telemetry data received from a first software defined wide area network (sd-wan) edge device that has a workload scheduled, where the telemetry data includes at least one of a health status of the workload or multiple runtime context elements at the first sd-wan edge device. it is determined that a failure associated with either the first sd-wan edge device or the workload occurs. a mode of the failure is determined. a remediation process based on the determined mode of the failure and a current state of the workload is performed.

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