Remote Office Data Transmission Prioritization
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Solution Overview
Problem
Current virtual computing systems face inefficiencies in data transmission from Remote Office Branch Office (ROBO) sites to datacenters, leading to resource wastage and increased costs due to fixed interval or instantaneous data transmission, which competes with critical data and incurs higher network costs.
Innovation Solution
Implementing a local management system that dynamically determines transmission frequency and packet size based on network link characteristics, prioritizes relevant data, and transmits during cheaper times, reducing data volume through downsampling or sending raw data when anomalies are detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If data is transmitted at fixed intervals or instantaneously from ROBO sites to datacenters, then data transmission is simple to implement, but network costs increase and resources are wasted due to unnecessary data transmission
Solution Approach 1:
The patent implements dynamic data transmission by adjusting transmission frequency and packet size based on network conditions, data priority, and latency requirements. The system dynamically determines whether to transmit downsampled or raw data, and adjusts transmission timing based on network link characteristics, replacing fixed interval transmission with adaptive dynamic transmission.
Solution Approach 2:
The system changes transmission parameters including packet size, transmission frequency, and data format (downsampled vs. raw) based on network conditions and data characteristics. The local management system computes optimal packet sizes and transmission times by analyzing network bandwidth and latency parameters, thereby reducing unnecessary transmissions.
2Loss of information
If all data is transmitted from ROBO sites to datacenters, then data completeness is ensured, but network bandwidth is consumed and transmission time increases
Solution Approach 1:
The patent extracts and transmits only the essential data elements needed for datacenter operations. The local management system identifies and prioritizes critical data from the total data set, transmitting only high-priority information in real-time while deferring or aggregating lower-priority data, thereby reducing transmission time while maintaining operational completeness.
Solution Approach 2:
The system transmits partial data (downsampled or prioritized subsets) rather than complete data sets in all cases. The local management system determines the appropriate level of data transmission based on operational needs, transmitting full data only when necessary and using downsampled or summary data for routine monitoring, thus reducing overall transmission time.
3Productivity
If high priority is given to critical data transmission, then datacenter operational efficiency improves, but network bandwidth for other data is reduced
Solution Approach 1:
The patent implements continuous data transmission by maintaining steady data flow through optimized packetization and scheduling. The local management system continuously monitors data generation and network conditions, adjusting transmission rates to maintain continuous useful data flow without excessive bandwidth consumption, ensuring operational efficiency while preserving bandwidth for other purposes.
Solution Approach 2:
The system uses periodic transmission intervals adapted to data priority and network conditions. Critical data is transmitted with higher frequency or immediate priority, while non-critical data uses longer intervals. The local management system periodically assesses network status and adjusts transmission timing, creating a rhythmic transmission pattern that maintains efficiency while conserving bandwidth.
Data Source
AI summary
A system and method for transmitting data from a local management system of a remote office branch office site in a virtual computing system to a central management system includes assigning, by the local management system, an initial priority to each piece of data, identifying data requested by the central management system since a previous data transmission, and updating the initial priority of each piece of data to an updated priority. The data requested by the central management system is prioritized higher than other data. The system and method also include combining, by the local management system, at least a portion of the data starting with data having a highest priority, into a data packet until the data packet achieves a computed data packet size, transmitting the data packet to the central management system, and updating the initial priority with the updated priority for future data transmissions.


