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首页> 外文期刊>Journal of the Operational Research Society >A mixed integer linear programming model for reliability optimisation in the component deployment problem
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A mixed integer linear programming model for reliability optimisation in the component deployment problem

机译:用于组件部署问题中可靠性优化的混合整数线性规划模型

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Component deployment is a combinatorial optimisation problem in software engineering that aims at finding the best allocation of software components to hardware resources in order to optimise quality attributes, such as reliability. The problem is often constrained because of the limited hardware resources, and the communication network, which may connect only certain resources. Owing to the non-linear nature of the reliability function, current optimisation methods have focused mainly on heuristic or metaheuristic algorithms. These are approximate methods, which find near-optimal solutions in a reasonable amount of time. In this paper, we present a mixed integer linear programming (MILP) formulation of the component deployment problem. We design a set of experiments where we compare the MILP solver to methods previously used to solve this problem. Results show that the MILP solver is efficient in finding feasible solutions even where other methods fail, or prove infeasibility where feasible solutions do not exist.
机译:组件部署是软件工程中的组合优化问题,旨在找到软件组件对硬件资源的最佳分配,以优化质量属性,例如可靠性。由于硬件资源和通信网络的限制(通常只能连接某些资源),该问题通常受到限制。由于可靠性函数的非线性性质,当前的优化方法主要集中在启发式或元启发式算法上。这些是近似方法,可以在合理的时间内找到接近最佳的解决方案。在本文中,我们提出了组件部署问题的混合整数线性规划(MILP)公式。我们设计了一组实验,将MILP求解器与以前用于解决此问题的方法进行比较。结果表明,即使在其他方法失败的情况下,MILP求解器也可以有效地找到可行的解决方案,或者在不存在可行的解决方案的情况下证明不可行。

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