Endpoint Release Deployment via Property-Based Filtering

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Solution Overview

Problem

Managing software updates for complex systems like modern motor vehicles and IoT devices is challenging due to the unknown properties and capabilities of the endpoints, leading to difficulties in deploying upgrades effectively.

Innovation Solution

A data model and management system that uses propertyKey-propertyValue pairs to represent endpoint properties, groups endpoints based on criteria, and deploys releases to targeted groups using a Query Grammar for filtering and prioritization, ensuring efficient and accurate software updates across diverse systems.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a data model with propertyKey-propertyValue pairs is used to represent endpoint properties, then the system can handle arbitrary properties and previously unknown endpoints, but the device complexity increases due to the need for filtering and prioritization mechanisms

Engineering Contradiction:

Improveability to handle arbitrary properties and unknown endpointsVSAvoidcomplexity of filtering and prioritization mechanisms

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system segments the endpoint properties into structured propertyKey-propertyValue pairs, allowing independent handling and filtering of each property. This segmentation enables the complex data model to be managed through modular filtering operations rather than monolithic processing.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary filtering mechanism that sits between the raw property data and the release deployment decision. This intermediary layer processes propertyKey-propertyValue pairs through Query Grammar rules, simplifying the overall system complexity by isolating the filtering logic.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If grouping mechanisms are implemented to target specific endpoint groups for releases, then the precision of release targeting improves, but the difficulty of detecting and measuring endpoint properties increases

Engineering Contradiction:

Improveprecision of release targetingVSAvoiddifficulty of detecting endpoint properties

Core Design Contradiction:

Measurement precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The system performs preliminary grouping of endpoints based on their properties before release deployment. By pre-organizing endpoints into groups using property-based criteria, the system simplifies the measurement and detection process during actual release targeting, as the grouping logic is established in advance.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent changes the parameter representation from raw, unstructured endpoint properties to structured propertyKey-propertyValue pairs with associated filters. This parameter transformation makes endpoint properties more detectable and measurable by providing a standardized format for querying and filtering.

Inventive Principle:

Principle #35Parameter changes

3Productivity

If Query Grammar filtering is applied to prioritize releases for different endpoint groups, then the efficiency of release deployment improves, but the device complexity increases due to multiple filtering levels

Engineering Contradiction:

Improveefficiency of release deploymentVSAvoidcomplexity of multiple filtering levels

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent adds a dimensional layer to the filtering process by introducing Query Grammar rules that operate on propertyKey-propertyValue pairs. This additional dimension allows efficient prioritization across multiple filtering levels without linearly increasing complexity, as the grammar provides a systematic framework for multi-level filtering.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The Query Grammar mechanism serves multiple functions simultaneously: it filters endpoints, prioritizes releases, and manages property-based grouping. This multi-functionality reduces overall system complexity by consolidating what would otherwise require separate mechanisms into a single universal filtering framework.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS10365912B2Delivery mechanisms for deployment of releases of packages to endpoints

Publication Date: 2019.07.30 MALIKIE INNOVATIONS LTD

AI summary

Transport information is to be used by an endpoint to obtain one or more packages comprised in a deployed release. The transport information is sent in a single message that identifies the deployed release and the one or more packages. The transport information may include allowed bearer settings and transport settings. Release parameters to be used by the endpoint in connection with the deployed release are determined and included in the single message. The message may include one of the packages as streamed inline content. The message may identify one of the packages via a network address of a file of that package. The message may identify one of the packages via an indication of where in local removable storage to find a file of that package, the local removable storage being local to the endpoint.