Flow Control Mechanism for Multi-Tenant Data Stream Synchronization
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Solution Overview
Problem
Current event management systems face challenges in managing high volumes of data streams with varying latency and throughput, leading to inefficiencies and resource-intensive processing, especially in real-time tracking and multi-tenant cloud environments, where minor inefficiencies can cause significant issues.
Innovation Solution
A flow control mechanism that monitors and synchronizes the throughput of data streams and sub-streams using a shared control channel, allowing for throttling or withholding of data flow to coordinate processing and synchronize related streams, thereby managing latency and optimizing resource usage without requiring large caches or storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data streams are processed asynchronously with varying throughput, then system scalability is improved, but synchronization difficulty increases
Solution Approach 1:
The patent introduces a mediator component that receives data from multiple asynchronous data streams, buffers them temporarily, and releases them in a synchronized manner. This mediator acts as an intermediary layer that decouples the asynchronous production from synchronized consumption, allowing the system to maintain scalability while achieving synchronization without requiring complex coordination between all stream components.
2Speed
If real-time processing is implemented, then user experience is improved, but resource consumption increases
Solution Approach 1:
The patent implements periodic batching where data from multiple streams is collected over a defined time period and then processed together in synchronized batches. This periodic action allows the system to maintain real-time responsiveness by processing data frequently while avoiding continuous high-resource consumption by using efficient batch processing operations that can be optimized and parallelized.
3Manufacturing precision
If data buffering is increased to synchronize streams, then synchronization accuracy is improved, but memory usage increases
Solution Approach 1:
The patent applies partial buffering where only the minimum necessary data is retained in memory to achieve synchronization, rather than buffering excessive amounts. The system uses selective buffering strategies that maintain synchronization accuracy by keeping only the critical data elements needed for coordination, releasing others promptly to minimize memory consumption while still achieving the required synchronization precision.
Data Source
AI summary
A method and system manage synchronization of data streams in a multi-tenant system. The method includes tracking by a flow control mechanism a recent flow rate of at least one data stream, determining by the flow control mechanism whether the flow rate of the at least one data stream varies from at least one related data stream, and adjusting by the flow control mechanism a throughput of the at least one data stream to correlate with the at least one related data stream, in response to determining that the at least one data stream has varied from the at least one related data stream.