Methods and Devices for Discovering and Employing Distributed Computing Resources to Balance Performance Priorities

Abstract

An exemplary user equipment (“UE”) device provides a service request to an orchestration system associated with a federation of compute clusters available to fulfill the service request. The UE device also identifies a service optimization policy associated with a user preference for balancing performance priorities during fulfillment of the service request. In response to the service request, the UE device receives cluster selection data from the orchestration system. Based on the cluster selection data, the UE device characterizes compute clusters, within a subset of compute clusters represented in the cluster selection data, with respect to the performance priorities. Based on the service optimization policy and the characterization of compute clusters in the subset, the UE device selects a compute cluster from the subset to fulfill the service request. The UE device then provides an orchestration request indicative of the selected compute cluster to the orchestration system.

Description

BACKGROUND INFORMATION[0001]The popularity of mobile devices and networked computing has grown immensely in recent years. As a result, large communication networks (e.g., national cellular networks providing wireless phone and data communication services) continue to develop and to provide network and communication services to millions of user equipment (“UE”) devices such as mobile devices, Internet of Things (“IoT”) devices, and various other types of computing devices.[0002]To help UE devices perform computing tasks efficiently and effectively, distributed computing architectures have been deployed that allow UE devices to distribute certain computing tasks to networked computing resources that may be able to perform the computing tasks more efficiently and / or effectively than the UE device can perform the tasks itself. While distributed computing architectures have proven to be of great value for many users employing them for various applications, however, each user and / or appli...

AI Technical Summary

Problems solved by technology

These performance priorities may not be achievable by the distributed computing architectures that have been deployed.

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