Intelligent Data Pipeline Controller Aggregation
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Solution Overview
Problem
Current data pipeline technologies lack intelligence to efficiently and securely deliver data, leading to increased network traffic due to duplicated data delivery and inadequate management of tradeoffs between spatial, temporal, throughput, latency, and cost variables, which constrains data request aggregation and security enforcement.
Innovation Solution
An intelligent data pipeline controller with enhanced security filters and authorization mechanisms, including active requestor profile proxy, active per-data owner security filter, dynamic per-request security filter, and dynamic viewer filter, dynamically aggregates and segregates data requests to minimize network traffic and ensure secure data delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data pipeline delivers data to multiple users separately, then each user receives complete data, but network traffic increases due to duplicated data delivery
Solution Approach 1:
The patent merges multiple separate data delivery operations into a single aggregated data superset that is delivered once and then segmented for distribution to multiple users. This combines the data retrieval and delivery operations, eliminating redundant network traffic while ensuring each user receives their required data portion.
Solution Approach 2:
The patent segments the aggregated data superset into separate data subsets corresponding to individual user requests after aggregation. This allows a single data retrieval operation to serve multiple users by dividing the complete dataset into appropriate portions for each user based on their specific requests.
2Loss of energy
If data pipeline aggregates multiple data requests into a single superset, then network traffic is reduced, but security enforcement becomes more complex
Solution Approach 1:
The patent applies segmentation at the data delivery stage by dividing the aggregated data superset into separate subsets for different users. This maintains security boundaries between users while enabling efficient aggregation during retrieval, as the segmentation occurs after secure aggregation rather than requiring separate secure operations for each user.
Solution Approach 2:
The patent introduces an intermediary data aggregation layer that sits between data retrieval and individual user delivery. This intermediary aggregates data from multiple sources and users, then distributes it appropriately, simplifying security enforcement by centralizing the aggregation logic rather than requiring complex security management at each individual delivery point.
3Device complexity
If data pipeline processes each request independently, then security is simplified, but throughput decreases due to lack of request aggregation
Solution Approach 1:
The patent merges multiple independent data requests into a single aggregated data superset processing operation. This combines multiple security contexts and data retrieval operations into one unified process, improving throughput by reducing the number of separate processing cycles while maintaining security through controlled data segmentation after aggregation.
Solution Approach 2:
The patent performs preliminary aggregation of data requests and retrieval operations before final data delivery to users. By aggregating and preparing data in advance, the system reduces the number of sequential processing steps, thereby improving throughput without compromising security, as security enforcement occurs through controlled segmentation of the pre-aggregated data.
4Reliability
If data pipeline delivers complete datasets to each user, then data availability is ensured, but cost increases due to duplicated data transmission
Solution Approach 1:
The patent merges multiple data transmission operations into a single aggregated data superset delivery. This combines the data availability requirement with cost efficiency by delivering one complete data superset that can be segmented and distributed to multiple users, thereby ensuring data availability for all users while reducing total data transmission volume and associated costs.
Solution Approach 2:
The patent segments the aggregated data superset into user-specific portions after aggregation. This allows the system to maintain data availability for each user by providing them with the appropriate segments of the complete dataset, while avoiding the cost of transmitting complete datasets to each user separately by using a single aggregated transmission.
Data Source
AI summary
An example method includes receiving a plurality of data request specifications from a plurality of user endpoint devices of requesting users, aggregating a subset of the plurality of data request specifications which share a similarity into a super request, retrieving a plurality of datasets, wherein the plurality of datasets is needed to fulfill the super request, aggregating the plurality of datasets into a single data superset, and delivering the single data superset to the plurality of user endpoint devices of the requesting users via a data pipeline, where the delivering includes segregating the single data superset so that each user endpoint device of the plurality of user endpoint devices of the requesting users receives a portion of the single data superset corresponding to one data request specification of the plurality of data request specifications that was submitted by the each user endpoint device.