Product-form solutions for integrated services packet networks and cloud computing systems
Product-form solutions for integrated services packet networks and cloud computing systems
复制标题
DOI：
10.1155/2014/767651
复制
发表时间：
2013-09
期刊：
影响因子：
--
通讯作者：
W. Dai
中科院分区：
文献类型：
--
作者：
W. Dai
我们迭代地推导出具有多服务站的多优先级多类排队网络的平稳分布的乘积形式解。该网络是马尔可夫网络，具有指数到达间隔和服务时间分布。这些解决方案可用于对具有多处理器共享内存交换机的大规模网络和具有并行服务器站的云计算系统进行性能分析或作为近似和仿真研究的比较标准。与现有的布朗近似模型进行了数值比较，表明了该算法的有效性。
We iteratively derive the product-form solutions of stationary distributions of priority multiclass queueing networks with multi-sever stations. The networks are Markovian with exponential interarrival and service time distributions. These solutions can be used to conduct performance analysis or as comparison criteria for approximation and simulation studies of large scale networks with multi-processor shared-memory switches and cloud computing systems with parallel-server stations. Numerical comparisons with existing Brownian approximating model are provided to indicate the effectiveness of our algorithm.