Edge SSD Data Aggregation and Filtering for IoT Bandwidth Limits
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Solution Overview
Problem
Existing SSDs are limited by cost, power consumption, latency, and bandwidth constraints, hindering the efficient gathering and processing of data generated by IoT devices, which impedes the expansion of the Internet of Things.
Innovation Solution
An edge SSD device with integrated wireless transceivers and data processors that aggregate, process, and filter data from multiple sensors, reducing the need for extensive network transmission by analyzing and storing data locally.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If SSDs are configured to store data from IoT devices, then data storage capacity is improved, but network bandwidth load increases and power consumption increases
Solution Approach 1:
The system segments data handling into multiple levels: local SSD storage, edge server processing, and cloud storage. The edge SSD device divides data into cached data and processed data, storing only essential information locally while transmitting processed results to the cloud, thereby reducing power consumption associated with continuous data transmission and storage.
Solution Approach 2:
The edge SSD device performs preliminary data processing and filtering before data is transmitted to the cloud. By pre-processing data at the edge location, the system reduces the volume of data that needs to be transmitted and stored remotely, thereby reducing overall power consumption while maintaining adequate storage capacity.
2Loss of information
If data from multiple IoT sensors is gathered and transmitted, then data completeness is improved, but network bandwidth consumption increases
Solution Approach 1:
The edge SSD device extracts and caches only the most relevant and frequently accessed data locally, while transmitting processed and filtered data to the cloud. This selective extraction maintains data completeness for essential information while significantly reducing network bandwidth consumption by eliminating redundant data transmission.
Solution Approach 2:
The system discards redundant and duplicate data at the edge level before transmission, while maintaining the ability to recover essential information through local caching. The SSD stores cached data that can be quickly retrieved when needed, reducing the need to transmit complete datasets while maintaining data completeness for critical operations.
3Loss of energy
If data is processed and filtered at the edge SSD device, then network bandwidth load is reduced, but device complexity increases
Solution Approach 1:
The edge SSD device is designed with multi-functionality, combining storage, caching, and basic data processing capabilities in a single device. This universal approach reduces the need for separate dedicated processing units while achieving bandwidth reduction, thereby managing device complexity through consolidated functionality rather than multiple specialized components.
4Speed
If cached data is stored locally on SSD, then data access speed is improved, but storage cost increases
Solution Approach 1:
The system implements partial local storage by caching only the most frequently accessed and critical data on the local SSD, rather than storing all IoT data locally. This partial action approach achieves fast access speeds for essential data while avoiding the excessive storage costs that would result from local retention of complete datasets.
Data Source
AI summary
Various aspects include an edge SSD device. The edge SSD device includes non-volatile memory circuits. The edge SSD device includes one or more memory controllers to operate the non-volatile memory circuits. The edge SSD device includes wireless transceivers. The edge SSD device includes a data processor configured to aggregate data received from remote sensor devices using the wireless transceivers into aggregated data. The data processor may process and/or filter the aggregated data into processed and/or filtered data, and may cause the aggregated data to be stored by the one or more memory controllers to the volatile memory circuits. The data processor may cause the processed and/or filtered data to be transmitted using the wireless transceivers.