IoT Resource Recipes for Portable Service Sharing
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Solution Overview
Problem
Conventional IoT techniques lack portability and transferability due to the binding of software applications and user preferences to hardcoded unique MAC addresses and device identifiers, making it difficult to share or redeploy IoT devices without significant human intervention.
Innovation Solution
A novel technique using resource abstraction and recipe-based orchestration to manage IoT devices, allowing for easy portability and sharing of software applications and customized settings across different computing devices, eliminating the need for specifying unique device identifiers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional IoT techniques bind software applications and user preferences to hardcoded unique MAC addresses and device identifiers, then device-specific functionality is ensured, but portability and transferability are severely limited
Solution Approach 1:
The patent introduces a cloud-based service as an intermediary between IoT devices and user computing devices. This service stores application data, user preferences, and device configurations in the cloud, allowing seamless transfer and portability without hardcoding to specific devices. The cloud service acts as a mediator that enables data access from multiple devices, resolving the contradiction between device-specific functionality and portability.
Solution Approach 2:
The patent implements universal access to IoT application data and user preferences across multiple computing devices through cloud-based storage and synchronization. Instead of binding data to a single device's MAC address, the system enables the same application and settings to be accessed universally from any authorized computing device, enhancing portability while maintaining device-specific functionality through cloud verification.
2Ease of operation
If IoT applications use hardcoded unique identifiers for device binding, then device identity and security are maintained, but ease of operation and sharing capabilities are reduced
Solution Approach 1:
The cloud-based service acts as a trusted intermediary that verifies device identities and manages access permissions. Instead of relying solely on hardcoded identifiers, the system uses the cloud service to authenticate devices and manage data access, maintaining security and device identity binding while enabling easy sharing and redeployment across different computing devices.
Solution Approach 2:
The system performs preliminary actions by pre-configuring application data, user preferences, and device bindings in the cloud before actual device deployment or transfer. This preliminary cloud-based setup enables seamless portability and sharing, as the data is already prepared and associated with the appropriate devices through cloud-based relationships rather than hardcoded identifiers.
3Adaptability or versatility
If conventional techniques bind applications to specific computing devices, then device-specific customization is achieved, but scalability and reusability are limited
Solution Approach 1:
The cloud-based service serves as a central intermediary that stores and manages application data, user preferences, and device configurations. This enables rapid deployment and reconfiguration by simply accessing the cloud service from different devices, eliminating time-consuming manual reconfiguration while maintaining device-specific customization through cloud-based associations.
Solution Approach 2:
The system enables copying of application data, settings, and configurations between devices through cloud-based synchronization. Instead of manually reconfiguring each device, the cloud service automatically copies and synchronizes data across multiple devices, significantly reducing deployment time while maintaining device-specific customizations through selective synchronization.
Data Source
AI summary
A mechanism is described for facilitating portable, reusable, and shareable Internet of Things-based services and resources according to one embodiment. A method of embodiments, described herein, includes selecting a recipe, wherein the recipe includes instructions associated with a first trigger to activate a first set of resources, the first set of resources and instructions correspond to a first category, accessing a second set of resources associated with a second trigger to activate the second set of resources, the second set of resources and instructions correspond to a second category of user preferences, the second category different from the first category, modify the recipe to replace a first resource block of the first set of resources with a second resource block of the second set of resources, and deploy the recipe at a computing device, the computing device receiving at least one of the first trigger or the second trigger.