Online task dispatching and scheduling system and method thereof
US11206221B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 4, 2021 |
| Grant date | Dec 21, 2021 |
| Priority date | — |
| Expiry date | Jun 4, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L47/623
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to an online task dispatching and scheduling system. The system includes an end device; an access point (AP) configured to receive a task from the end device; one or more edge servers configured to receive the task from the AP, the one or more edge servers including a task waiting queue, a processing pool, a task completion queue, and a scheduler, wherein the AP further includes a dispatcher utilizing Online Learning (OL) for determining a real-time state of network conditions and server loads; and the AP selects a target edge server from the one or more edge servers to which the task is to be dispatched; and wherein the scheduler utilizes Deep Reinforcement Learning (DRL) in generating a task scheduling policy for the one or more edge servers.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.