Cost and reliability-aware profit optimization method for heterogeneous multi-server systems
By establishing a heterogeneous multi-server system model and a soft error reliability model, and using the penalty function iteration method and 0-1 knapsack problem to optimize the configuration, the problem that the existing technology fails to effectively consider the timeliness of cloud service requests and the impact of soft errors is solved, thereby improving the quality and profit of cloud services.
Patent Information
- Application Number
- CN202310308215.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-03-27
- Publication Date
- 2025-09-16
- Estimated Expiration
- 2043-03-27
AI Technical Summary
Existing technologies fail to effectively consider the heterogeneity of timeliness of cloud service requests and the adverse impact of soft errors on profit maximization when designing multi-server configuration solutions. In addition, most works focus on a single application domain and lack optimization for providing services in multiple application domains.
A heterogeneous multi-server system model and a soft error reliability model are established. The profit maximization problem is converted into a 0-1 knapsack problem using an iterative method based on a penalty function. The optimal application domain investment strategy is solved using a dynamic programming and greedy algorithm, considering budget and reliability constraints.
It improves the quality of cloud services and provider profits, enhances the economic benefits of cloud services, with profits increased by 8.38%, and can efficiently solve the optimal application domain investment strategy.