Peer-to-Peer Level of Activity Counter Distribution
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Solution Overview
Problem
Centralized approaches for maintaining and sharing level of activity counters are prone to scalability and latency issues, especially when dealing with distributed attacks across multiple data centers, leading to inaccurate blocking of users and increased complexity.
Innovation Solution
Implementing automatic peer-to-peer level of activity information maintenance and sharing without centralization, where each server updates and shares local level of activity counters with other peers, reducing latency and increasing scalability through decentralized communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a centralized approach is used to maintain and share level of activity counters, then the system architecture is simple and centralized control is achieved, but scalability is limited and latency increases when there are high numbers of counters and high volume of counter updates
Solution Approach 1:
The patent divides the centralized counter management system into multiple distributed peer servers, each maintaining local counters. This segmentation allows the system to scale horizontally by adding more peer servers without increasing centralized bottlenecks, directly resolving the scalability limitation while maintaining architectural simplicity through standardized peer-to-peer communication protocols
2Device complexity
If a centralized approach is used to maintain and share level of activity counters, then centralized control is achieved, but latency increases particularly when there is a high volume of counter updates
Solution Approach 1:
The patent extracts the counter management function from the centralized architecture and distributes it to peer servers. Each peer server independently maintains and updates local counters, eliminating the sequential processing bottleneck of centralized systems. This allows parallel counter updates across multiple peers, dramatically reducing latency for high-volume counter operations while maintaining coordinated control through peer-to-peer communication
3Productivity
If partitioning and replication are used with the centralized approach, then some scalability is improved, but latency issues and complexity increase especially when there is a high number of counters and high volume of counter updates
Solution Approach 1:
Instead of partitioning the centralized system (which creates multiple centralized nodes with coordination overhead), the patent inverts the architecture to a fully distributed peer-to-peer model. Each peer operates autonomously with local counters, eliminating inter-node coordination latency for counter updates. The inversion from centralized-partitioned to distributed-peer architecture resolves both scalability and latency issues simultaneously
Data Source
AI summary
Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatic peer-to-peer level of activity information maintenance and sharing without centralization. The disclosed systems and methods a peer-to-peer level of activity sharing mechanism involving sharing level of activity counter update instructions for use in updating a number of level of activity counters maintained locally by a peer receiving the instruction(s). A peer can use its local level of activity counters in determining whether impose a throttling mechanism.