Dynamic Device Hierarchy Using Unique Addressing Schemes
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Solution Overview
Problem
Resource planning in data centers faces inefficiencies due to inaccurate data propagation, leading to cascading errors and manual, complex processes in managing capacity and calculating resource usage, particularly in data centers where detailed minute-level electricity usage is unavailable.
Innovation Solution
A system and method for dynamically building system hierarchies using a unique addressing scheme that includes location, relationship, and object identifiers, allowing for real-time aggregation and annotation of device relationships, enabling comprehensive data management without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is aggregated from multiple devices to parent devices, then resource planning capability is improved, but data accuracy deteriorates due to propagation of errors
Solution Approach 1:
The system segments the data aggregation process by device hierarchy levels, allowing data to be collected and validated at each level before rolling up to parent devices. This segmentation prevents error propagation by isolating data quality issues to specific segments of the hierarchy rather than allowing them to cascade across the entire dataset.
Solution Approach 2:
The system implements feedback mechanisms where data quality metrics are monitored and fed back to identify and correct configuration errors at source devices. This feedback loop enables continuous improvement of data accuracy while maintaining the benefits of aggregated resource planning data.
2Measurement precision
If manual processes are used to manage capacity and calculate resource usage, then data accuracy can be maintained through careful verification, but productivity deteriorates due to complexity and time consumption
Solution Approach 1:
The system enables self-service automated data collection and hierarchy building, where devices automatically report their configuration data and the system autonomously constructs the device hierarchy. This eliminates manual data entry and verification processes while maintaining data accuracy through systematic validation rules.
Solution Approach 2:
Manual mechanical processes for data collection and hierarchy management are replaced with automated electronic systems that continuously gather device data and dynamically build hierarchies. This substitution maintains accuracy through consistent automated validation while dramatically improving productivity by eliminating manual intervention.
3Measurement precision
If detailed monitoring data is collected from individual devices, then measurement precision is improved, but device complexity increases due to the need to manage relationships between numerous devices
Solution Approach 1:
The system merges device identification and relationship management by implementing a unified addressing scheme that encodes both device identity and hierarchical relationships in a single data structure. This merging reduces management complexity while preserving detailed device-level monitoring capabilities.
Solution Approach 2:
The addressing scheme serves multiple functions simultaneously: it identifies individual devices, establishes hierarchical relationships, and enables data aggregation paths. This multi-functionality reduces the overall system complexity by eliminating the need for separate mechanisms to handle these different management aspects.
4Stability of the object's composition
If a static device hierarchy is maintained, then system stability is improved, but adaptability deteriorates when new devices are introduced or configurations change
Solution Approach 1:
The system transitions from static hierarchy maintenance to dynamic hierarchy building, where the device hierarchy is continuously reconstructed based on current device configurations and relationships. This dynamic approach maintains stability through consistent reconstruction logic while achieving adaptability by automatically reflecting system changes.
Solution Approach 2:
The system establishes predetermined rules and algorithms for hierarchy construction that are applied automatically when devices are added or configurations change. This preliminary preparation of reconstruction logic enables rapid adaptation to changes while maintaining stability through consistent application of the same building rules.
Data Source
AI summary
According to an embodiment of the present invention, an automated computer implemented system and method for building system hierarchies comprising: an input configured to receive monitoring data from a plurality of devices associated with an entity, wherein the monitoring data for each device of the plurality of devices comprises a unique addressing scheme, the unique addressing scheme comprising a location identifier, a relationship identifier and an object identifier for each device; a processor configured to dynamically build a system hierarchy based on the addressing scheme for each device responsive to the monitoring data and a calculated data determined for each device; and an output configured to generate the system hierarchy on an user interface.