Quality of service (QoS) management in edge computing environments

US11412052B2 · kind B2 · utility

Assignee

• Intel Corporation · US

Inventors

• Francesc Guim Bernat · Barcelona, ES
• Patrick Bohan · Portland, US
• Kshitij A. Doshi · Tempe, US
• Brinda Ganesh · Portland, US
• Andrew J. Herdrich · Hillsboro, US
• Monica Kenguva · Phoenix, US
• Karthik Kumar · Chandler, US
• Patrick G. Kutch · Tigard, US
• Felipe Pastor Beneyto · Holmdel, US
• Rashmin Patel · Chandler, US
• Suraj Prabhakaran · Aachen, DE
• Ned M. Smith · Beaverton, US
• Petar Torre · Weiling, DE
• Alexander Vul · San Jose, US

Key dates

• Filing date: Dec 28, 2018
• Grant date: Aug 9, 2022
• Expiry date: Aug 5, 2039

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04L41/5003
• WIPO field: Digital communication
• WIPO sector: Electrical engineering

Abstract

An architecture to perform resource management among multiple network nodes and associated resources is disclosed. Example resource management techniques include those relating to: proactive reservation of edge computing resources; deadline-driven resource allocation; speculative edge QoS pre-allocation; and automatic QoS migration across edge computing nodes. In a specific example, a technique for service migration includes: identifying a service operated with computing resources in an edge computing system, involving computing capabilities for a connected edge device with an identified service level; identifying a mobility condition for the service, based on a change in network connectivity with the connected edge device; and performing a migration of the service to another edge computing system based on the identified mobility condition, to enable the service to be continued at the second edge computing apparatus to provide computing capabilities for the connected edge device with the identified service level.