Standby Server Arrangement Optimization for Failure Recovery
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Solution Overview
Problem
Conventional computer system management methods may not effectively utilize resources if the arrangement of standby server computers is inappropriate, leading to inefficient failure recovery.
Innovation Solution
A management system that evaluates and selects appropriate arrangement positions for standby computers and I/O adapters based on priority information and switch methods, optimizing the standby combination candidates for active system configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If standby server computers are arranged without evaluation of arrangement positions, then the system configuration is simple, but resource utilization is inefficient and failure recovery is suboptimal
Solution Approach 1:
The management computer performs preliminary evaluation of standby server arrangement positions by specifying active combinations, selecting switch methods, determining priorities, and evaluating candidates before actual failure occurs. This advance preparation ensures optimal resource utilization and rapid failure recovery without adding complexity during critical moments.
Solution Approach 2:
The system implements feedback through the management computer that continuously monitors system state, evaluates standby arrangement candidates based on priority information, and adjusts configurations accordingly. This feedback mechanism optimizes resource allocation and ensures efficient failure recovery procedures.
2Reliability
If conventional standby arrangement methods are used, then the system is easy to manage, but appropriate standby selection cannot be ensured leading to wasted resources
Solution Approach 1:
The management computer automatically performs the evaluation and selection of optimal standby server arrangements without requiring manual intervention. The system self-manages by specifying active combinations, selecting switch methods, determining priorities, and evaluating candidates autonomously, thereby maintaining ease of operation while improving reliability.
Solution Approach 2:
The system changes parameters such as priority levels, switch methods, and evaluation criteria to optimize standby server selection. By dynamically adjusting these parameters based on system state and failure scenarios, the system achieves efficient failure recovery while maintaining simple management operations.
Data Source
AI summary
A management system according to an example of the invention selects a standby combination candidate of an arrangement position candidate of a standby computer and an arrangement position candidate of a standby I/O adapter. The management system specifies a plurality of active combinations of an arrangement position of an active computer and an arrangement position of an active I/O adapter. The management system selects a switch method applicable between the standby combination candidate and each of the plurality of active combinations from a plurality of switch methods. The management system determines a priority of the selected switch method by referring to priority information associating each of the plurality of switch methods and the priority. The management system evaluates the standby combination candidate based on the determined priority of the selected switch method.