20240039808. CONTEXT BASED META SCHEDULING OF CONTAINERIZED WORKLOADS ACROSS EDGE DEVICES simplified abstract (VMWARE, INC.)
Contents
CONTEXT BASED META SCHEDULING OF CONTAINERIZED WORKLOADS ACROSS EDGE DEVICES
Organization Name
Inventor(s)
RAUNAK RAVINDRA Singwi of Pune (IN)
DANIEL Beveridge of Valrico FL (US)
MARK Peek of Anacortes WA (US)
NILANJAN Daw of Bangalore (IN)
SAIRAM Veeraswamy of cOIMBATORE (IN)
PRANAY Pareek of Sunnyvale CA (US)
CONTEXT BASED META SCHEDULING OF CONTAINERIZED WORKLOADS ACROSS EDGE DEVICES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240039808 titled 'CONTEXT BASED META SCHEDULING OF CONTAINERIZED WORKLOADS ACROSS EDGE DEVICES
Simplified Explanation
The patent application describes computer-implemented methods, media, and systems for context-based meta-scheduling of containerized workloads across edge devices. Here is a simplified explanation of the patent:
- The method involves receiving a manifest file that contains multiple context requirements of a workload, including runtime service level agreement (SLA) requirements.
- Telemetry data is received from multiple software-defined wide area network (SD-WAN) edge devices, which includes context data of each device.
- Based on the telemetry data and the context requirements of the workload, a suitable SD-WAN edge device is selected for placing the workload.
- The selected SD-WAN edge device meets the context requirements of the workload.
- Finally, the workload is executed on the selected SD-WAN edge device.
Potential applications of this technology:
- Edge computing: This technology can be used in edge computing environments where workloads need to be scheduled and executed efficiently across multiple edge devices.
- Internet of Things (IoT): With the increasing number of IoT devices generating data at the edge, this technology can help in optimizing workload placement and execution for IoT applications.
Problems solved by this technology:
- Efficient workload scheduling: By considering the context requirements and telemetry data of edge devices, this technology solves the problem of selecting the most suitable device for executing a workload.
- Meeting SLA requirements: The method ensures that the selected edge device meets the runtime SLA requirements of the workload, ensuring efficient and reliable execution.
Benefits of this technology:
- Improved performance: By selecting the most suitable edge device based on context requirements, this technology can improve the performance and responsiveness of workload execution.
- Resource optimization: By effectively utilizing the available edge devices, this technology helps in optimizing resource allocation and reducing wastage.
- Enhanced reliability: By considering the runtime SLA requirements, this technology ensures that workloads are executed on edge devices that can meet the required service levels, enhancing reliability.
Original Abstract Submitted
computer-implemented methods, media, and systems for context based meta scheduling of containerized workloads across edge devices are disclosed. one example computer-implemented method includes receiving a manifest file that includes multiple context requirements of a workload, where the multiple context requirements include multiple runtime service level agreement (sla) requirements of the workload. telemetry data is received from multiple software defined wide area network (sd-wan) edge devices, where the telemetry data includes respective context data of each of the multiple sd-wan edge devices. a sd-wan edge device is selected, based on the telemetry data and the multiple context requirements of the workload, from the multiple sd-wan edge devices for placing the workload on the selected sd-wan edge device, where the context data of the selected sd-wan edge device meets the multiple context requirements of the workload. the workload is run on the selected sd-wan edge device.
