Server availability scheme combination determination method and electronic device

By constructing a server availability assessment model and a pruning optimization algorithm based on partial order relations, the problem that existing technologies cannot decompose high availability targets into component-level indicators is solved, thus achieving optimization of server availability scheme combinations and the design with the lowest cost.

CN120872505BActive Publication Date: 2025-12-05LANGCHAO ELECTRONIC INFORMATION IND CO LTD
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Patent Information

Application Number
CN202511375142.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-09-25
Publication Date
2025-12-05
Estimated Expiration
2045-09-25

AI Technical Summary

Technical Problem

Existing server availability specifications cannot be directly mapped to implementable circuit, microarchitecture, or firmware parameters, which makes it impossible to decompose high availability goals into component-level metrics during the system-level design phase, and the reliability databases of various server, storage, and memory vendors are isolated from each other.

Method used

By constructing a server availability assessment model, availability scheme combinations are generated based on availability parameters. Partial order relation and pruning optimization algorithm are used to select availability scheme combinations that meet the target constraints and preset cost rules, and decompose them into the indicators of each component.

Benefits of technology

This approach enables the decomposition of high availability goals into component-level metrics during the early design phase of servers, improving the selection efficiency of pruning optimization algorithms and ensuring the optimization and lowest cost of server availability solution combinations.

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Abstract

This application discloses a method and electronic device for determining server availability scheme combinations, relating to the field of computer technology. The method includes: constructing a server availability assessment model using availability parameters of each server component in a target server; then constructing constraints based on several availability schemes corresponding to the target server, cost data corresponding to each scheme, the availability assessment model, and preset availability indicators; and using a preset pruning optimization algorithm to select a target availability scheme combination that satisfies the target constraints and preset cost rules from several availability scheme combinations based on the partial order relationship between availability schemes. The target availability scheme combination includes component parameter indicators of each target server component corresponding to each target availability scheme. Therefore, the partial order relationship between schemes can improve the selection efficiency of the pruning optimization algorithm, thereby quickly selecting a server availability scheme combination that meets the requirements from several server availability schemes.
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