Infrastructure Event Clustering via Graph Coordinates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for managing infrastructure face challenges in efficiently organizing and retrieving messages/events due to the lack of automated indexing and effective clustering, leading to difficulties in managing large volumes of information and dealing with spam, as well as complexities in decomposing traffic matrices in data centers.
Innovation Solution
A system with a signalizer engine that uses graph coordinates to cluster events related to failures or errors in physical hardware components, coupled with a compare and merge engine for executing physical corrections and a collaborative interface for interactive displays, allowing for the creation of posts and visualizing data in a dashboard.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated indexing and clustering systems are implemented, then information retrieval efficiency is improved, but system complexity increases
Solution Approach 1:
The system segments the infrastructure monitoring function into distinct components: event generation modules that create standardized events from various infrastructure components, an automated indexing service that processes and indexes events, and clustering algorithms that group related events. This segmentation allows each component to be optimized independently while maintaining overall system efficiency.
Solution Approach 2:
The patent introduces an intermediary indexing service that acts as a mediator between raw infrastructure events and user queries. This intermediary layer automatically processes events, extracts relevant features, creates indexes, and performs clustering, thereby shielding users from system complexity while improving retrieval efficiency.
2Measurement precision
If manual directory creation and information organization is performed, then information accuracy is improved, but time consumption increases
Solution Approach 1:
The system implements self-service through automated event processing where the infrastructure components themselves generate standardized events with embedded metadata. The indexing service automatically extracts features, determines categorization, and performs clustering without human intervention, achieving both accuracy and efficiency.
Solution Approach 2:
The patent applies preliminary action by pre-defining event schemas, metadata structures, and clustering algorithms before events arrive. The system prepares indexing templates and classification rules in advance, allowing rapid automated processing of incoming events while maintaining consistent accuracy standards.
3Device complexity
If traditional folder-based message organization is used, then system simplicity is maintained, but task visibility and user awareness deteriorate
Solution Approach 1:
The patent transitions from traditional two-dimensional folder hierarchies to a multi-dimensional event space where events are organized by multiple attributes simultaneously (source, type, severity, time, relationships). This dimensional transformation enables rich clustering and filtering capabilities while maintaining interface simplicity through visual dashboards that present clustered events in intuitive formats.
Data Source
AI summary
A system is provided for managing a managed infrastructure that has physical hardware components. A signalizer engine is coupled to the managed infrastructure. The signalizer engine includes a central processor and a main memory. In response to input from the managed infrastructure, the central processor and the main memory use graph coordinates to determine hop proximity of a source of an event. Clusters of events are then produced relating to one or more failures or errors in the physical elements of the managed infrastructure. Each event being is converted to words to group the events into the clusters that relate to a failure or an actionable problem in the physical hardware components to produce an output. A compare and merge engine is coupled to the signalizer engine to receive the output. In response to the output, the system executes physical corrections to the physical hardware of the managed infrastructure. One or more interactive displays is in communication with the compare and merge engine to provide a collaborative interface for allowing posts to be created.