Jurisdiction-Aware Computing Resource Allocation
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Solution Overview
Problem
Distributed computing systems face challenges in complying with privacy statutes and regulations across multiple jurisdictions, particularly in ensuring that private information is not transferred outside the jurisdiction where it is collected, leading to complexities in transaction processing and resource allocation.
Innovation Solution
A system and method that allow computing resources to be allocated and managed across jurisdictions, enabling transactions to be executed within compliant jurisdictions by using containers and virtual machines, with metadata handling and microclouds to facilitate compliance and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If computing resources are allocated across multiple jurisdictions to serve global users, then service coverage and accessibility are improved, but compliance with privacy statutes and regulations becomes more complex and difficult to maintain
Solution Approach 1:
The system segments computing resources into jurisdiction-specific containers and virtual machines, where each container/VM is assigned to a specific jurisdiction and governed by that jurisdiction's privacy statutes. This segmentation allows the system to serve global users while maintaining compliance by ensuring data processing occurs within the appropriate legal boundaries.
Solution Approach 2:
The patent introduces a jurisdiction management system that acts as an intermediary between users and computing resources. This intermediary determines the jurisdiction of each user, selects appropriate containers or virtual machines from the distributed pool, and routes transactions accordingly. This mediation simplifies compliance complexity by automating the matching of users with jurisdictionally-appropriate resources.
2Reliability
If separate hosting infrastructure is deployed in each jurisdiction to ensure compliance, then privacy statute compliance is improved, but infrastructure cost and device complexity increase
Solution Approach 1:
The system employs universal container and virtual machine technologies that can be deployed across multiple jurisdictions using the same underlying infrastructure platform. Rather than requiring completely separate hosting systems for each jurisdiction, the same physical infrastructure can host multiple jurisdiction-specific containers and VMs, reducing overall infrastructure complexity while maintaining compliance assurance.
Solution Approach 2:
The patent implements a nested architecture where containers are nested within virtual machines, which are in turn nested within the physical infrastructure. This nesting allows multiple layers of abstraction, where compliance requirements are satisfied at the container/VM level while sharing the underlying physical infrastructure across jurisdictions, thereby reducing overall complexity.
3Productivity
If computing resources are dynamically allocated based on user jurisdiction, then resource utilization efficiency is improved, but system complexity and difficulty of operation increase
Solution Approach 1:
The jurisdiction management system operates autonomously to determine user jurisdictions and allocate appropriate containers or virtual machines without requiring manual intervention. The system automatically queries user location data, identifies the applicable jurisdiction, and routes the transaction to the appropriate resource, thereby maintaining ease of operation while achieving dynamic resource allocation.
Solution Approach 2:
The system incorporates feedback mechanisms where the jurisdiction management system continuously monitors user transactions, determines jurisdictions based on user data, and adjusts resource allocation accordingly. This feedback loop enables dynamic resource utilization while automating the complexity of jurisdictional matching, keeping the system easy to operate.
Data Source
AI summary
In one or more embodiments, one or more processes, methods, and/or systems associated with a first jurisdiction may receive a request for a transaction, that involves private information, from a second computer system in a second jurisdiction. For example, the second jurisdiction may be subject to one or more privacy statutes and/or one or more privacy regulations. For instance, the one or more privacy statutes and/or one or more privacy regulations may apply to entities outside the jurisdiction that collect and/or process data of a resident and/or a citizen of the jurisdiction. In one or more embodiments, the one or more processes, methods, and/or systems may further determine that the second computer system is in the second jurisdiction, provide an instruction to a third computer system, in the second jurisdiction, to execute program instructions that executes the transaction, and receive, from the third computer system, metadata associated with the transaction.