Partial Computation Offloading With Blockchain Redundancy Control
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Solution Overview
Problem
Metaverse-based services face challenges with high power consumption, data redundancy, and scalability issues in network environments, particularly in COmputing In Network (COIN) systems, which impact user security and network performance.
Innovation Solution
A dynamic redundancy-aware blockchain-based Partial Computation Offloading (PCO) system and method for Metaverse services in a COIN environment, utilizing a multi-layered architecture with a controller to optimize offloading decisions based on blockchain redundancy factors and a Deep Double Q-network algorithm to minimize computational costs and maximize incentives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complete data redundancy is implemented in blockchain for security and privacy, then user security and data privacy are improved, but storage demands increase nonlinearly and scalability deteriorates
Solution Approach 1:
The patent applies partial redundancy by implementing redundancy only for critical data elements rather than complete data duplication. The system calculates optimal redundancy levels based on data importance, access patterns, and security requirements, storing only the necessary redundant copies to achieve security goals without excessive storage consumption. This resolves the contradiction by providing sufficient security with minimal storage overhead.
Solution Approach 2:
The patent dynamically adjusts redundancy parameters based on network conditions, data types, and security requirements. The system modifies redundancy factors, storage locations, and encryption parameters adaptively to optimize the balance between security and storage efficiency. This parameter optimization allows the system to maintain high security standards while reducing storage demands through intelligent parameter management.
2Speed
If COIN usage is increased to minimize network latency and optimize user experience, then network performance is improved, but power consumption increases nonlinearly
Solution Approach 1:
The patent implements dynamic COIN allocation where the system continuously adjusts the level of computing offloading based on real-time network conditions, task requirements, and energy availability. The controller dynamically determines optimal offloading strategies that balance latency reduction with energy consumption, adapting to changing system states to achieve minimal power usage while maintaining acceptable performance levels.
Solution Approach 2:
The system optimizes power consumption by dynamically adjusting COIN parameters such as offloading thresholds, computation intensity, and network transmission parameters. The patent uses parameter optimization to find the optimal operating point that minimizes energy consumption while satisfying latency requirements, resolving the contradiction between speed and energy usage through intelligent parameter management.
3Reliability
If more blockchain nodes are added to increase decentralization and security, then reliability is improved, but device complexity and storage requirements increase
Solution Approach 1:
The patent applies partial decentralization by implementing blockchain functionality at optimal levels rather than maximum decentralization. The system determines the minimum necessary number of nodes and redundancy levels to achieve security and reliability goals, avoiding excessive decentralization that would increase complexity. This partial action approach maintains reliability while reducing system complexity and storage requirements.
Solution Approach 2:
The patent uses selective data copying and replication strategies where only critical data is replicated across multiple nodes rather than complete data duplication. This copying approach provides necessary decentralization and security through strategic data distribution, reducing the overall complexity and storage burden compared to full replication while maintaining adequate reliability.
Data Source
AI summary
Provided is a system and a method for a dynamic redundancy-aware blockchain-based PCO for Metaverse within a COIN environment. The system includes user equipment that transmits a request for a task of the Metaverse, and a COIN device that operates a service of the Metaverse service. The COIN device includes a plurality of layers, and a controller that calculates a PCO and sends a request for determining a layer that performs a Metaverse task requested by the user equipment.