Distributed Data Timestamping for Chronological Packet Processing
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Solution Overview
Problem
In geographically distributed computing systems, data originating from different locations is processed out of order due to varying latency and throughput, leading to undesired outcomes and incorrect decision-making.
Innovation Solution
A method involving trusted network components affixing timestamps to data packages, using a moving window to reorder data based on origination time, and processing within a time window to maintain chronological order.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data packages are processed based on receipt time in geographically distributed systems, then processing speed is improved, but data ordering accuracy deteriorates due to latency variations
Solution Approach 1:
The patent applies preliminary action by affixing timestamps to data packages at the source before transmission. This timestamp serves as a pre-established reference that allows the system to later reorder packets correctly without requiring complex real-time synchronization or waiting for all packets to arrive before processing can begin.
Solution Approach 2:
The patent introduces an intermediary mechanism - a trusted network component that affixes authoritative timestamps to data packages. This intermediary acts as a mediator between the distributed data sources and the processing system, providing a common reference framework that resolves the ordering problem caused by geographic distribution and network latency.
2Manufacturing precision
If a moving window approach is used to regulate data processing, then processing order accuracy is improved, but system complexity increases
Solution Approach 1:
The patent implements a dynamic moving window that adjusts its parameters based on the geographic distribution of data sources. The window size and movement rate are not fixed but adapt to the specific latency characteristics of different geographic locations, allowing the system to maintain accuracy while responding to changing network conditions.
Solution Approach 2:
The patent changes key parameters of the processing system based on geographic location. The moving window's time boundaries and processing thresholds are adjusted according to the distance and latency characteristics of different data sources, enabling the system to optimize between speed and accuracy for each geographic region.
Data Source
AI summary
Methods and systems for processing data from geographically distributed data sources are disclosed. The data may be processed by an application system that receives the data from geographically distributed data sources. Before arriving at the application system, the data may be affixed with a timestamp by a trusted local network component. The application system may reorder incoming data in a buffer based on the timestamp. Data may be then extracted from the buffer and processed based on the reordering.