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Internet of things device orchestration

專利號
US11178038B1
公開日期
2021-11-16
申請人
INTERNATIONAL BUSINESS MACHINES CORPORATION(US NY Armonk)
發(fā)明人
Dario Andres Silva Moran; Yara Rizk
IPC分類
G06F15/16; H04L29/12; H04L29/06; H04L29/08; H04L12/26; H04L12/24
技術領域
cloud,polling,smart,may,fog,devices,in,or,data,be
地域: NY NY Armonk

摘要

A method, a computer program product, and a computer system orchestrate devices of a device ecosystem. The method performed by an orchestrator includes receiving polling data from agents that are directly connected to the devices indicating simulations run by the devices for a cloud service. The method comprises determining a preview state of the device ecosystem. The method comprises determining an action to change a state of the device ecosystem based on the preview state. The method comprises generating an instruction for the action and the devices to perform the action. The method comprises transmitting the instruction to the agents, the agents actuating the change via the determined at least one of the devices performing the action. The orchestrator orchestrates the agents such that the devices are provided the cloud service isolated from a cloud computing system associated with the cloud service.

說明書

On-demand self-service: a cloud consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with the service's provider.

Broad network access: capabilities are available over a network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, and PDAs).

Resource pooling: the provider's computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to demand. There is a sense of location independence in that the consumer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter).

Rapid elasticity: capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time.

Measured service: cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported, providing transparency for both the provider and consumer of the utilized service.

Service Models are as follows:

權利要求

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