Scalable Peer Matching Service for Distributed Content Transfer
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional peer matching systems face resource limitations, leading to performance issues and overload when handling numerous requests for digital content downloads, resulting in reduced efficiency and potential service failures.
Innovation Solution
The implementation of a scalable peer matching service that coordinates requests across multiple peer matching nodes, utilizing a unit controller and hub to manage and synchronize peer device registrations, and prioritize co-located devices for efficient content sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a specific instance of a central service is used to coordinate peer matching requests, then peer devices can be matched for content downloads, but the central service becomes overloaded and performance deteriorates when handling numerous requests
Solution Approach 1:
The patent divides the centralized peer matching service into multiple distributed peer matching nodes. Each node independently handles peer matching requests, eliminating the single-point overload problem. The system segments the monolithic central service into modular units that can scale horizontally to handle increased request volumes without compromising reliability.
Solution Approach 2:
The patent introduces a discovery service as an intermediary that coordinates between peer devices and peer matching nodes. Instead of peer devices directly contacting a single central service, the discovery service distributes requests across multiple peer matching nodes, preventing any single node from becoming overwhelmed while maintaining system reliability.
2Productivity
If multiple peer matching nodes are deployed to handle increased requests, then service capacity increases, but system complexity increases
Solution Approach 1:
The patent designs peer matching nodes with universal functionality, where each node can perform the same peer matching operations. This multi-functionality allows the system to scale by simply adding more identical nodes rather than designing complex specialized components, thereby increasing capacity without proportionally increasing system complexity.
Solution Approach 2:
The patent implements a discovery service that provides feedback mechanisms to coordinate peer matching nodes. The discovery service monitors system state and dynamically directs peer matching requests to appropriate nodes based on current load conditions, simplifying the management of multiple nodes through centralized coordination rather than requiring complex peer-to-peer negotiation protocols.
3Ease of operation
If peer devices contact the same central service instance, then peer matching can be coordinated, but resource consumption at the central service increases
Solution Approach 1:
The patent segments the central service into multiple distributed peer matching nodes, each handling a portion of the peer matching workload. This segmentation distributes resource consumption across multiple nodes rather than concentrating it at a single service instance, reducing the resource burden on any individual node while maintaining coordinated peer matching functionality.
Solution Approach 2:
The discovery service acts as an intermediary that distributes peer matching requests across multiple peer matching nodes. This intermediary layer prevents direct concentration of requests at a single service instance, thereby reducing resource consumption at any individual node while preserving the ability to coordinate peer matching across the distributed system.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
The techniques and systems described herein implement an improved peer matching service by coordinating peer matching requests across multiple peer matching nodes configured within a peer matching unit so that resource consumption can be spread out and resource limitations are not exceeded. Moreover, the peer matching service can determine if a peer matching unit is overloaded (e.g., experiencing an increased number of requests in a given time interval that is causing performance degradation), and the peer matching service can implement an action to scale out the number of requests within the peer matching unit (e.g., re-distribute some peer matching requests to another peer matching unit). In various examples, the peer matching service can determine if peer devices are co-located peer devices based on location information and can generate a list that prioritizes the co-located peer devices.