Decentralized Agent Network for Scalable Event Data Diffusion
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Solution Overview
Problem
Traditional centralized event management architectures face scalability issues, become bottlenecks, and are expensive to replicate, leading to increased complexity and management costs as network environments grow, with human intervention becoming more costly and less feasible.
Innovation Solution
A decentralized data management network where event data is maintained and diffused between individual agents without a central server, using a data diffusion engine to randomly select and transmit event data entities via random connections, allowing for data diffusion, evaporation, and migration across the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a centralized event management architecture is used, then system event monitoring and management can be achieved, but the central location becomes a bottleneck and single point of failure, limiting scalability to handle millions of systems
Solution Approach 1:
The patent divides the centralized event management system into multiple decentralized agents distributed across the network. Each agent independently monitors and manages events locally, eliminating the single central bottleneck. This segmentation allows the system to scale to millions of systems while maintaining reliability, as no single point of failure exists.
Solution Approach 2:
The patent extracts the central management server from the architecture and replaces it with autonomous agents deployed at various network locations. By removing the centralizing component, the system eliminates the bottleneck and single point of failure while distributing event management capabilities across multiple independent nodes.
2Reliability
If the centralized management structure is replicated to improve reliability, then system resilience increases, but the expense becomes prohibitively high
Solution Approach 1:
The patent employs lightweight, inexpensive software agents that can be deployed across numerous network locations without requiring expensive hardware infrastructure. These agents are designed to be resource-efficient and can be easily replicated or replaced, providing high reliability through distribution while keeping deployment costs low.
Solution Approach 2:
Instead of replicating expensive central server infrastructure, the patent uses software-based agents that can be copied and deployed across the network at minimal cost. These virtual copies provide the same event management functionality without the prohibitive expense of physical server replication.
3Measurement precision
If human intervention is increased to manage complex networks, then event management accuracy improves, but management costs increase and resources become insufficient
Solution Approach 1:
The patent implements autonomous agents that automatically monitor, detect, and respond to events without requiring human intervention. These agents self-manage event processing, correlation, and response execution, maintaining high accuracy while eliminating the need for expensive human resources to scale with network complexity.
Solution Approach 2:
The patent replaces manual human intervention with automated software-based event management systems. This substitution of mechanical (human) processes with automated computational processes maintains event management accuracy while dramatically improving productivity and reducing costs associated with human resources.
Data Source
AI summary
In one embodiment, a method and apparatus for a mechanism for data diffusion and evaporation across networks is disclosed. The method includes maintaining event data of a data management network at individual agents in the data management network without utilizing a central management server and diffusing event data between the individual agents by randomly selecting an event data entity from a local cache of an agent of the individual agents, and transmitting a copy of the randomly selected event data entity into a cache of another agent of the individual agents via a random connection created between the agent and the another agent. Other embodiments are also disclosed.