Host Management Service for Data Center Error Identification
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Solution Overview
Problem
Data center service providers face challenges in identifying and managing configuration or management errors across multiple host computing devices, as the source of errors can be difficult to determine, affecting both individual and associated devices.
Innovation Solution
A host management service is implemented, which includes a host search component that identifies similar host computing devices based on search criteria, utilizing a similarity index to sort and list matching devices, allowing for efficient error identification and management across multiple devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If service providers manually manage and configure host computing devices, then configuration accuracy can be maintained, but the time and resources required for error identification and management increase significantly
Solution Approach 1:
The patent replaces manual mechanical error identification processes with automated computational systems. The host computing device automatically generates and analyzes configuration data, compares it against error patterns, and identifies issues without human intervention, thereby maintaining accuracy while dramatically reducing the time required for error identification.
Solution Approach 2:
The system enables self-service error identification where the host computing device autonomously monitors its own configuration, detects errors, and generates notifications. This self-diagnostic capability eliminates the need for service providers to manually examine each device, reducing time loss while maintaining identification accuracy through automated self-verification processes.
2Reliability
If service providers implement comprehensive monitoring of all host computing devices, then error detection capability improves, but system complexity and resource consumption increase
Solution Approach 1:
The patent extracts only the essential configuration data and error-relevant parameters from host computing devices, rather than monitoring all system aspects. By focusing extraction on specific configuration elements that are prone to errors, the system maintains high error detection capability while avoiding the complexity overhead of comprehensive monitoring of all device functions.
Solution Approach 2:
The monitoring system is segmented into modular components: configuration data collection, error pattern matching, and notification generation. Each module handles specific tasks independently, reducing overall system complexity while maintaining comprehensive error detection capability through coordinated operation of specialized segments.
3Measurement precision
If detailed configuration data is collected from multiple host computing devices, then error pattern recognition improves, but data processing load and storage requirements increase
Solution Approach 1:
The system extracts only error-relevant configuration parameters from host computing devices, filtering out unnecessary data. By taking out only the essential configuration elements that contribute to error patterns, the system improves pattern recognition accuracy while minimizing data processing load and energy consumption associated with handling excessive information.
Solution Approach 2:
The patent applies partial action by collecting detailed configuration data only for devices or parameters that are prone to errors, rather than uniformly monitoring all devices equally. This selective data collection approach maintains high error pattern recognition accuracy for critical areas while reducing overall data processing energy consumption by excluding low-risk elements.
Data Source
AI summary
A host management service monitors status of host computing devices in a data center. Monitored status of the host computing devices can be stored and managed in a host information database. When an abnormal status of a host computing device is identified, the host management service can initiate a search event to find more host computing devices that might have a similar issue, for a preventive maintenance. The host management service can access data stored in the host information database and calculate an index representing similarity between host computing devices. The host management service can generate a list of host computing devices that are determined to be similar to a reference host computing device. The list of host computing devices can be sorted based on a similarity index and can be provided to an operator of the data center for efficient maintenance.