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A HEURISTIC APPROACH FOR PROVIDER SELECTION AND TASK ALLOCATION MODEL IN TELECOMMUNICATION NETWORKS UNDER STOCHASTIC QOS GUARANTIES

机译:随机QOS保证下电信网络提供商选择和任务分配模型的启发式方法

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In this study, we model provider selection and task allocation problem as an expected cost minimization problem with stochastic chance constraints. Two important parameters of Quality of Service (QoS), delay and jitter are considered as random variables to capture stochastic nature of telecom network environment. As solution methodology, stochastic model is converted into its deterministic equivalent and then a novel heuristic algorithm is proposed to solve resulting nonlinear mixed integer programming model. Finally, performance of solution procedure is tested by several randomly generated scenarios.
机译:在这项研究中,我们将提供者选择和任务分配问题建模为具有随机机会约束的期望成本最小化问题。服务质量(QoS)的两个重要参数,延迟和抖动被视为随机变量,以捕获电信网络环境的随机性。作为求解方法,将随机模型转换为确定性等效模型,然后提出一种新颖的启发式算法来求解由此产生的非线性混合整数规划模型。最后,通过几种随机生成的方案测试了解决过程的性能。

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