Data transmission from edge to cloud using edge-based bidding

Patent metadata

Field	Value
Publication number	US-2025285176-A1
Application number	US-202418598463-A
Country	US
Kind code	A1
Filing date	Mar 7, 2024
Priority date	Mar 7, 2024
Publication date	Sep 11, 2025
Grant date	—

Abstract

A remote compute device stores a data collection policy. A processor receives a data request from an application and determines a plurality of data sets within the data request. The processor provides a data bid request to multiple edge compute devices. The processor receives multiple bidding values from the edge compute devices. A different one of the bidding values corresponds to a different one of the edge compute devices. Based on the multiple bidding values and the data collection policy, the processor determines a target edge compute device. The processor provides a data request to the target edge compute device. The processor receives data from the target edge compute device and provide the data to the application.

First claim

What is claimed is:

1 . A remote compute device comprising:
a memory to store a data collection policy; and a processor to communicate with the memory, the processor to:
receive a data request from an application;
determine a data set within the data request;
provide a data bid request to multiple edge compute devices;
receive multiple bidding values from the edge compute devices, wherein a different one of the bidding values corresponds to a different one of the edge compute devices;
based on the multiple bidding values and the data collection policy, determine a target edge compute device;
provide a data request for the data set to the target edge compute device;
receive the data set from the target edge compute device; and
provide the data set to the application.

2 . The remote compute device of claim 1 , wherein the processor further to: receive the data collection policy from a backend server, the backend server is in communication with the remote compute device, the multiple edge compute devices, and multiple information handling systems.

3 . The remote compute device of claim 1 , wherein prior to the data request being provided to the target edge compute device, the processor further to: create a data lane between the remote compute device and the target edge compute device, wherein the data is received from the target edge compute device over the data lane.

4 . The remote compute device of claim 1 , wherein each of the multiple edge compute devices include the data set.

5 . The remote compute device of claim 1 , wherein the data collection policy includes a level of granularity for the bidding values.

6 . The remote compute device of claim 1 , wherein the each different one of the bidding values are based on workload load, subsystem health, data transmission cost, and carbon intensity of a corresponding different one of the edge compute devices.

7 . The remote compute device of claim 1 , wherein the data collection policy includes a reliability, a data transmission cost, carbon footprint, and speed for an edge compute device.

8 . The remote compute device of claim 1 , wherein the application is an artificial intelligence based data analysis application.

9 . A method comprising:
storing, by a processor of a remote compute device, a data collection policy in a memory; receiving a data request from an application; determining a plurality of data sets within the data request; providing a data bid request to multiple edge compute devices; receiving multiple bidding values from the edge compute devices, wherein a different one of the bidding values corresponds to a different one of the edge compute devices; based on the multiple bidding values and the data collection policy, determining a target edge compute device; providing a data request for the data set to the target edge compute device; receiving, by the processor, the data set from the target edge compute device; and providing the data set to the application.

10 . The method of claim 9 , further comprising receiving the data collection policy from a backend server, the backend server is in communication with the remote compute device, the multiple edge compute devices, and multiple information handling systems.

11 . The method of claim 9 , wherein prior to the data request being provided to the target edge compute device, the processor further to: creating a data lane between the remote compute device and the target edge compute device, wherein the data is received from the target edge compute device over the data lane.

12 . The method of claim 9 , wherein each of the multiple edge compute devices include the data set.

13 . The method of claim 9 , wherein the data collection policy includes a level of granularity for the bidding values.

14 . The method of claim 9 , wherein the each different one of the bidding values are based on workload load, subsystem health, data transmission cost, and carbon intensity of a corresponding different one of the edge compute devices.

15 . The method of claim 9 , wherein the data collection policy includes a reliability, a data transmission cost, carbon footprint, and speed for an edge compute device.

16 . The method of claim 9 , wherein the application is an artificial intelligence based data analysis application.

17 . A remote compute device comprising:
a memory to store a data collection policy, wherein the data collection policy is received from a backend server; and a processor to:
receive a data request from an application;
determine a data set within the data request;
provide a data bid request to multiple edge compute devices;
receive multiple bidding values from the edge compute devices, wherein a different one of the bidding values corresponds to a different one of the edge compute devices;
based on the multiple bidding values and the data collection policy, determine a target edge compute device;
provide a data request for the data set to the target edge compute device;
create a data lane between the remote compute device and the target edge compute device;
receive the data set from the target edge compute device over the data lane; and
provide the data set to the application.

18 . The remote compute device of claim 17 , wherein each of the multiple edge compute devices include the data set.

19 . The remote compute device of claim 17 , wherein the each different one of the bidding values are based on workload load, subsystem health, data transmission cost, and carbon intensity of a corresponding different one of the edge compute devices.

20 . The remote compute device of claim 17 , wherein the data collection policy includes a level of granularity for the bidding values.

Assignees

• Dell Products Lp

Inventors

• Samuel Balasingh
• Khosrowpour Farzad

Classifications

• H04L67/10

  in which an application is distributed across nodes in the network (software deployment G06F8/60; multiprogramming arrangements G06F9/46) · CPC title

• G06Q30/08 Primary

  Auctions · CPC title