Self-configuring distributed system and method for operating a self-configuring distributed system
The self-configuring distributed system optimizes resource allocation using internal and external sensor data processing to address inefficiencies in existing systems, achieving efficient and sustainable resource management.
Patent Information
- Application Number
- DE102024102201
- Authority / Receiving Office
- DE · DE
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-01-25
- Publication Date
- 2025-07-31
AI Technical Summary
Existing distributed systems face inefficiencies in resource allocation due to reactive or long-term predictive scaling methods, leading to resource waste and potential application crashes, with configuration and maintenance being time-consuming and difficult to manage.
A self-configuring distributed system that utilizes internal and external sensor data, processed through extraction rules and machine learning, to automatically adjust resource allocation and scaling, optimizing resource use and reducing waste.
The system efficiently allocates resources without prior defects, minimizing waste and improving sustainability by accurately matching resource needs to system demands, outperforming traditional reactive and predictive methods.
Smart Images

Figure 00000000_0000_ABST
Abstract
Claims
[1] A computer-implemented method for automatically configuring a distributed system (200), the distributed system (200) comprising a plurality of servers (210), the method comprising the following steps: - receiving (S301) internal sensor data of the distributed system (200); - receiving (S302) external sensor data of the distributed system (200); - Extracting (S303) relevant properties of the distributed system (200) from the external and internal sensor data based on extraction rules; - Generating (S304) control actions for the distributed system (200) based on the relevant properties of the distributed system (200). [2] Computer-implemented method according to claim 1, - wherein the internal sensor data of the distributed system (200) comprises data on the utilization of CPUs, memory, RAM and / or input; and / or - wherein the external sensor data of the distributed system (200) comprises ambient data, environmental data and / or historical data. [3] A computer-implemented method according to any one of claims 1 or 2, wherein the internal and / or external sensor data comprises a plurality of different sensor data types. [4] Computer-implemented method according to one of claims 1-3, wherein extracting relevant properties of the distributed system (200) from the external and internal sensor data comprises preprocessing the sensor data, preferably classifying the sensor data, fusing the sensor data and / or processing the sensor data with machine learning methods. [5] Computer-implemented method according to one of claims 1-4, wherein the relevant properties comprise a significantly reduced data volume compared to the received sensor data. [6] Computer-implemented method according to one of the preceding claims, wherein generating the control actions further comprises prioritizing and / or weighting possible actions. [7] Operator assistance system (100, 400) for the automatic configuration of a distributed system, comprising - A sensor module (110) configured to receive internal sensor data and external sensor data of the distributed system; - An extraction module (120) configured to extract relevant properties of the distributed system (200) from the external and internal sensor data based on extraction rules; - An action module (130) configured to generate control actions for the distributed system (200) based on the relevant properties of the distributed system (200). [8] Operator assistance system (100, 400) according to claim 7, further comprising at least one of the following modules: - a weighting module (440) configured to weight the control actions generated by the action module (130, 430); - a selection module (450) configured to select the weighted control actions; - a presentation module (460) configured to present the actions generated by the action module (130, 430) or to present the actions selected by the selection module (450). [9] Self-configuring distributed system (200) comprising an operation assistance system (100, 400) according to claim 7 or 8 and further comprising: - A first distributed system (200), the first distributed system (200) comprising a plurality of servers (210); - Wherein the servers (210) of the first distributed system (200) are configured to execute actions generated by the action module (130, 430) of the operator assistance system (100, 400). [10] Self-configuring distributed system (200) according to claim 9, further comprising - a second distributed system (200); - wherein the operator assistance system (100, 400) is configured to jointly process the sensor data of the first distributed system (200) and the sensor data of the second distributed system (200) in order to generate joint control actions for the first and second distributed system (200).
Citation Information
Patent Citations
Military watercraft with sensors
DE102020200471A1