Performance Evaluation by Ant Colony Algorithm

Jianfeng Chen, Jinzhao Wu
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引用次数: 1

Abstract

Besides traditional verification of system functions, performance evaluation in modern hardware and software systems has received extensive attention. Performance evaluation aims at obtaining quantitative measures of the system to test whether reliability-related properties are warranted. In this paper, model of the system is expressed in the form of IMC, a mixed model for describing both action-based and state-based systems. And by converting performance properties of the system into aCSL formulae, we can formally verify them by model checking. To accelerate the process of IMC performance evaluation, a modified version of ant colony algorithm is proposed in the paper. Compared with other numerical methods, the ant colony algorithm reduces unnecessary model elements and the execution efficiency is largely improved to tackle more complex system performance evaluation problems.
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基于蚁群算法的性能评价
除了传统的系统功能验证之外,现代硬件和软件系统的性能评估也受到了广泛的关注。性能评估的目的是获得系统的定量度量,以测试与可靠性相关的特性是否得到保证。在本文中,系统的模型以IMC的形式表示,这是一种描述基于动作和基于状态的系统的混合模型。并将系统的性能属性转化为aCSL公式,通过模型检验进行形式化验证。为了加快IMC性能评估的过程,本文提出了一种改进的蚁群算法。与其他数值方法相比,蚁群算法减少了不必要的模型元素,大大提高了执行效率,可以解决更复杂的系统性能评估问题。
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