Device Management Apparatus Proactive SLA Fulfillment
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Solution Overview
Problem
Existing device management systems fail to proactively address non-fulfillment of Service Level Agreements (SLA) by only reporting after the fact, lacking the ability to expand report targets in real-time based on device operation status, which can lead to missed maintenance opportunities and increased maintenance costs.
Innovation Solution
A device management apparatus and system that includes a receiving unit for state information, a sending unit for report information, and a changing unit that dynamically expands report targets when the device's operation state does not meet scheduled standards, identified through historical state information analysis, allowing for proactive maintenance and improved SLA fulfillment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system only reports device state changes after they occur, then the reporting process remains simple and straightforward, but the system cannot proactively address SLA non-fulfillment or expand report targets in real-time
Solution Approach 1:
The system performs preliminary analysis of device operation status against SLA requirements before non-fulfillment occurs. By continuously monitoring and comparing current operation status with scheduled standards, the system can proactively identify potential SLA violations and expand report targets in advance, rather than merely reporting after problems occur.
Solution Approach 2:
The system implements a feedback mechanism where the analysis results of device operation status are fed back to dynamically adjust report targets. When the system detects that operation status deviates from scheduled standards, it automatically expands the scope of reporting, creating a closed-loop control system that continuously improves SLA fulfillment through adaptive feedback.
2Loss of time
If the system expands report targets dynamically based on operation status, then proactive maintenance is enabled, but the complexity of determining report targets increases
Solution Approach 1:
The system pre-establishes the relationship between operation status parameters and report target expansion criteria. By having predetermined rules and thresholds for when and how to expand report targets, the system can quickly respond to status changes without complex real-time decision-making, reducing maintenance response time while maintaining manageable system complexity.
Solution Approach 2:
The system automatically determines when to expand report targets by autonomously comparing device operation status against scheduled standards and applying predefined expansion rules. This self-service capability eliminates the need for manual intervention in target determination, reducing both response time and operational complexity.
3Measurement precision
If the system monitors and analyzes historical state information continuously, then operation status can be accurately identified, but the computational load and processing time increase
Solution Approach 1:
The system extracts only the critical state information and operation status parameters that are necessary for SLA evaluation from the complete historical state data. By selectively extracting relevant information rather than processing all available data, the system maintains high measurement precision for operation status identification while reducing computational load and processing time.
Solution Approach 2:
The system applies partial monitoring and analysis to historical state information, focusing on key parameters and time periods most relevant to SLA fulfillment assessment. This selective approach provides sufficient accuracy for operational status identification without the excessive computational burden of analyzing every detail of historical data.
Data Source
AI summary
A device management apparatus including a receiving unit configured to receive state information indicating a change in a state of a device and store the state information in a state information storage unit; a sending unit configured to send report information relating to the state information to a predetermined destination, when the state information received by the receiving unit corresponds to a report target; and a changing unit configured to expand the report targets when an operation state of the device does not fulfill a scheduled state of a present time point, the operation state being identified based on history of the state information stored in the state information storage unit.