View source for 20240048451. CONTEXT-SENSITIVE DEFRAGMENTATION AND AGGREGATION OF CONTAINERIZED WORKLOADS RUNNING ON EDGE DEVICES simplified abstract (VMWARE, INC.)

=CONTEXT-SENSITIVE DEFRAGMENTATION AND AGGREGATION OF CONTAINERIZED WORKLOADS RUNNING ON EDGE DEVICES=


==Organization Name==

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


[[Category:VMWARE, INC.]]

==Inventor(s)==

[[: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: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)]]

==CONTEXT-SENSITIVE DEFRAGMENTATION AND AGGREGATION OF CONTAINERIZED WORKLOADS RUNNING ON EDGE DEVICES - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240048451 titled 'CONTEXT-SENSITIVE DEFRAGMENTATION AND AGGREGATION OF CONTAINERIZED WORKLOADS RUNNING ON EDGE DEVICES

==Simplified Explanation==

The patent application describes computer-implemented methods, media, and systems for context-sensitive defragmentation and aggregation of containerized workloads running on edge devices. The methods involve monitoring telemetry data from multiple software-defined wide area network (SD-WAN) edge devices that run multiple workloads. The telemetry data includes resource utilization, inter-workload trigger dependency, and inter-workload data dependency among the multiple workloads. Based on the telemetry data, it is determined that at least two of the workloads have inter-workload trigger dependency or inter-workload data dependency. In response to this determination, a process of migrating the at least two workloads to a first SD-WAN edge device is initiated.

* The patent application focuses on optimizing the performance and resource utilization of containerized workloads running on edge devices.
* It introduces a context-sensitive defragmentation and aggregation approach based on monitoring telemetry data.
* The method considers factors such as resource utilization, inter-workload trigger dependency, and inter-workload data dependency to make decisions on workload migration.
* By migrating workloads to specific SD-WAN edge devices, the method aims to improve overall performance and efficiency.
* The innovation enables dynamic workload management and allocation based on real-time telemetry data.
* The approach can be applied to various edge computing scenarios where containerized workloads are distributed across multiple devices.
* It can be used in industries such as IoT, edge AI, and edge analytics to optimize workload distribution and resource allocation.
* The technology solves the problem of suboptimal workload distribution and resource utilization in edge computing environments.
* It addresses the challenge of managing inter-workload dependencies and ensuring efficient execution of containerized workloads.
* The method provides a solution for dynamically migrating workloads to appropriate edge devices based on their dependencies and resource requirements.
* It offers benefits such as improved performance, reduced resource wastage, and enhanced scalability in edge computing environments.


==Original Abstract Submitted==

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.



[[Category:H04L41/0897]]
[[Category:H04L41/40]]