Event Management Console with Dynamic Evocations
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Solution Overview
Problem
Current event management systems lack an efficient method to detect, prioritize, and provide actionable insights for a multitude of computer events across various categories, leading to overwhelmed administrators and delayed issue resolution.
Innovation Solution
A computer system that detects a plurality of computer events, determines event severity and category, and displays an event management console with entries for high-severity events, including dynamic evocations that suggest courses of action for each category, helping administrators address issues promptly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If event management systems detect and display all computer events, then complete event information is provided, but system complexity and administrator workload increase significantly
Solution Approach 1:
The patent extracts only the most critical event information by filtering events based on severity thresholds and category relevance. The system extracts top N events with highest severity scores and presents only those along with predefined actionable evocations, rather than displaying all events. This reduces information overload while maintaining focus on critical issues.
Solution Approach 2:
The patent segments events into categories (e.g., hardware failures, software errors, network issues) and further prioritizes within categories using severity scoring. The display is segmented into manageable portions showing only the most severe events and their corresponding evocations, making the complex event data structure more manageable for administrators.
2Reliability
If all computer events are displayed in the management console, then comprehensive event monitoring is achieved, but administrator productivity decreases due to overwhelming information
Solution Approach 1:
The system performs preliminary action by pre-defining evocations (suggested actions) for each event category before events occur. When events are detected, the system immediately pairs them with relevant pre-defined evocations, enabling administrators to respond quickly without needing to analyze complex event data themselves. This preliminary preparation maintains monitoring reliability while boosting productivity.
Solution Approach 2:
The system provides feedback to administrators through severity-based filtering and category-specific evocations. The feedback mechanism shows only the most critical events and suggests actionable responses, enabling administrators to make informed decisions quickly. This feedback loop maintains reliable event monitoring while significantly improving administrator productivity by reducing decision time.
3Ease of operation
If event severity and category filtering is implemented, then administrator focus on critical issues improves, but event detection and processing complexity increases
Solution Approach 1:
The patent applies parameter changes by using severity thresholds and category labels as filtering parameters. The system changes the presentation parameters of events based on their severity score and category, displaying only events above certain thresholds and organizing them by category. This parameter-based filtering simplifies administrator operation while the underlying processing remains sophisticated enough to handle complex event data.
4Adaptability or versatility
If dynamic evocations are added to the event management console, then actionable insights are provided, but interface complexity and information density increase
Solution Approach 1:
The patent merges the event display with predefined evocations (suggested actions) into a unified console interface. Rather than separating event listing from action suggestions, the system combines them so that each event entry includes its relevant evocations directly. This merging provides actionable insights while keeping the interface organized and manageable, avoiding excessive complexity.
Data Source
AI summary
According to an example implementation, a computer-readable storage medium, computer-implemented method and a system are provided to detect a plurality of computer events, determine an event severity for each event, select a set of the events having a highest severity of the plurality of events, determine an event category for each event in the set of events, display an event management console including an entry for each event of the set of events, each entry in the event management console including at least an event description and an event severity indicator that indicates event severity, and wherein the displayed event management console also includes one or more evocations for each event category of the set of events, each evocation providing a suggested course of action to address events of the event category.