View source for 20240039808. CONTEXT BASED META SCHEDULING OF CONTAINERIZED WORKLOADS ACROSS EDGE DEVICES simplified abstract (VMWARE, INC.)

=CONTEXT BASED META SCHEDULING OF CONTAINERIZED WORKLOADS ACROSS EDGE DEVICES=


==Organization Name==

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


[[Category:VMWARE, INC.]]

==Inventor(s)==

[[:Category:RAUNAK RAVINDRA Singwi of Pune (IN)|RAUNAK RAVINDRA Singwi of Pune (IN)]][[Category:RAUNAK RAVINDRA Singwi of Pune (IN)]]

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

[[:Category:DANIEL Beveridge of Valrico FL (US)|DANIEL Beveridge of Valrico FL (US)]][[Category:DANIEL Beveridge of Valrico FL (US)]]

[[:Category:MARK Peek of Anacortes WA (US)|MARK Peek of Anacortes WA (US)]][[Category:MARK Peek of Anacortes WA (US)]]

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

[[:Category:SAIRAM Veeraswamy of cOIMBATORE (IN)|SAIRAM Veeraswamy of cOIMBATORE (IN)]][[Category:SAIRAM Veeraswamy of cOIMBATORE (IN)]]

[[:Category:PRANAY Pareek of Sunnyvale CA (US)|PRANAY Pareek of Sunnyvale CA (US)]][[Category: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.



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