Vmware, Inc.

Nilanjan Daw

Sairam Veeraswamy

Raunak Ravindra Singwi

Erol Aygar

Daniel James Beveridge

Hari Sivaraman

Uday Pundalik Kurkure

Lan Vu

A framework that may be implemented by a workload orchestration platform for scheduling accelerator-enabled workloads on the accelerators in a cluster is provided. In one set of embodiments, the framework enables the platform to schedule accelerator-enabled workloads based on a multitude of user-provided, fine-grained accelerator requirements. In another set of embodiments, the framework enables the platform to automatically recommend an initial set of accelerator resource requirements for an accelerator-enabled workload and automatically right-size such requirements based on telemetry data collected during the workload's runtime.

Framework for scheduling accelerator-enabled workloads

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.

Inter-cluster automated failover and migration of containerized workloads across edges devices

Computer-implemented methods, media, and systems for context-sensitive defragmentation and aggregation of containerized workloads running on edge devices are disclosed. One example method includes monitoring telemetry data from multiple software defined wide area network (SD-WAN) edge devices that run multiple workloads, where the telemetry data includes at least one of resource utilization at the multiple SD-WAN edge devices, inter-workload trigger dependency, or inter-workload data dependency among the multiple workloads. It is determined, based on the telemetry data, that at least two of the multiple workloads running on at least two SD-WAN edge devices have the inter-workload trigger dependency or the inter-workload data dependency. In response to the determination that the at least two of the multiple workloads have the inter-workload trigger dependency or the inter-workload data dependency, a first process of migrating the at least two of the multiple workloads to a first SD-WAN edge device of is initiated.

Context-sensitive defragmentation and aggregation of containerized workloads running on edge devices

Growing community of inventors

Bengaluru, India

Nilanjan Daw