Cloud Authorization Consistency via Univalence and Inductive Types

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Solution Overview

Problem

Cloud authorization faces challenges in consistency, leading to false authorizations and denials due to weaknesses in existing authorization rules, missing rules, rule conflicts, and inconsistencies in distributed computing environments, which affect service availability, reliability, and scalability.

Innovation Solution

The solution establishes consistency through the use of univalence and inductive types, with consistency pushouts and pullbacks, and develops induction schemas for services, repositories, and messages, incorporating semantic models and retry mechanisms to ensure relative consistency and paraconsistency, and implements a normalization procedure to address inconsistencies.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If distributed computing characteristics (service availability, reliability, scalability) are improved, then system capability is enhanced, but authorization consistency strength is reduced

Engineering Contradiction:

Improveservice availabilityVSAvoidauthorization consistency

Core Design Contradiction:

ReliabilityVSMeasurement precision

Solution Approach 1:

The system segments authorization management into distributed authorization services deployed across multiple nodes. Each node maintains local authorization state while participating in global consistency protocols, allowing the system to scale while maintaining authorization integrity through divided responsibility.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system implements feedback mechanisms where authorization decisions are continuously validated against distributed state. Consistency checks and reconciliation protocols provide feedback loops that detect and correct authorization drift, ensuring that service availability does not compromise authorization consistency.

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If authorization rules are updated frequently to adapt to changing services and resources, then system adaptability is improved, but false authorization and false denies increase

Engineering Contradiction:

Improveauthorization adaptabilityVSAvoidauthorization accuracy

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The system performs preliminary validation and conflict detection on authorization rules before they are applied. Change propagation protocols pre-process authorization updates to identify potential conflicts and false decisions, allowing the system to adapt to changing services while maintaining authorization accuracy through advance verification.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system introduces intermediary authorization evaluation layers that mediate between raw authorization rules and final access decisions. These intermediaries include policy evaluation services and conflict resolution mechanisms that filter out false authorizations and false denies while allowing frequent rule updates for adaptability.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Speed

If synchronous processing time and queuing latency are reduced to improve service speed, then processing efficiency is improved, but authorization consistency is compromised

Engineering Contradiction:

Improveprocessing speedVSAvoidauthorization consistency

Core Design Contradiction:

SpeedVSMeasurement precision

Solution Approach 1:

The system implements periodic consistency checks and asynchronous reconciliation protocols that operate at controlled intervals. This allows fast synchronous processing for immediate authorization needs while periodically reinforcing consistency across distributed nodes, balancing speed with authorization precision through rhythmic validation.

Inventive Principle:

Principle #19Periodic action

Solution Approach 2:

The system transitions from purely synchronous single-dimension processing to a multi-dimensional approach combining synchronous fast paths with asynchronous consistency reinforcement. This dimensional expansion allows the system to achieve both high processing speed through optimized synchronous paths and authorization consistency through parallel asynchronous validation channels.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

Data Source

PatentUS11671458B1Coherent method of consistency for purpose of cloud authorization

Publication Date: 2023.06.06 GOOGLE LLC

AI summary

The present disclosure sets up the foundation of consistency for cloud authorization. Consistency is formalized as univalence and a scheme of inductive types, and consistency pushouts and pullbacks are derived for cloud authorization. Induction schemas are developed for services, repositories and messages. The consistency is characterized as relative consistency, paraconsistency, and three levels of inconsistency. Due to duality of consistency, consistency recovery is constructed with a semantic model and synthetic retry message type families.