Action Ordering in Distributed Systems via Aggregation
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Solution Overview
Problem
Distributed systems face challenges in ordering actions across multiple agents without allowing unfair advantages or ensuring consistency, particularly in fault-prone settings like decentralized ledgers and autonomous vehicle coordination.
Innovation Solution
Implementing a method that involves local agents generating proposed action sequences, which are aggregated using preferential voting and culling functions to determine a shared queue ordering, preventing unfair advantages and ensuring order integrity through consensus-based synchronization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single agent orders actions in a distributed system, then processing efficiency is improved, but fairness and consistency across agents deteriorate
Solution Approach 1:
The patent merges multiple local queues from different agents into a single shared queue through an aggregation function. This combining approach allows the system to maintain processing efficiency while ensuring fairness and consistency, as the shared queue is collectively determined by multiple agents rather than controlled by a single agent.
Solution Approach 2:
The patent introduces an intermediary aggregation function that mediates between multiple agents' local queues and the shared queue. This intermediary mechanism prevents any single agent from unfairly ordering actions while maintaining system-wide consistency, resolving the contradiction between efficiency and fairness.
2Reliability
If multiple agents independently order actions, then fairness is improved, but system consistency and coordination deteriorate
Solution Approach 1:
The patent combines multiple independent agent queues into a unified shared queue through aggregation. This merging process preserves the fairness contributions of individual agents while establishing a single consistent ordering that ensures system-wide coordination and stability.
3Speed
If actions are ordered based on timestamps, then processing speed is improved, but vulnerability to manipulation and unfair advantages increases
Solution Approach 1:
The patent replaces timestamp-based ordering with an intermediary aggregation function that combines local queues from multiple agents. This intermediary mechanism prevents manipulation because no single agent can control the ordering, and the aggregation process is transparent and verifiable by all agents.
Solution Approach 2:
The patent implements a feedback mechanism where agents verify the shared queue ordering through the aggregation function. This feedback loop ensures that the ordering is fair and cannot be manipulated, as any attempt to manipulate would be detected by other agents through the verification process.
4Reliability
If consensus mechanisms are implemented across all agents, then consistency is improved, but processing overhead and complexity increase
Solution Approach 1:
The patent segments the consensus process into two parts: local queue generation (done independently by each agent) and aggregation (done collectively). This segmentation reduces complexity by allowing agents to work independently on local queues while only needing to participate in the aggregation process for consensus, rather than requiring continuous communication for all decisions.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for action ordering in a multi-agent system such as a distributed system of agent nodes. In some implementations, an exemplary method includes accessing local queues including one or more actions; applying an aggregation function to the local queues; based on the application of the aggregation function, determining an ordering of actions from the actions of each local queue; generating a shared queue based on the ordering of the actions including a first action at a first position of the shared queue and a second action at a second, sequential position of the shared queue; and synchronizing the actions of the distributed system in response to processing the actions of the shared queue according to the ordering of the actions.