Multiserver queueing systems are found at the core of a wide variety of practical systems. Unfortunately, existing tools for analyzing multiserver models have major limitations: Techniques for exact analysis often struggle with high-dimensional models, while techniques for deriving bounds are often too specialized to handle realistic system features, such as variable service rates of jobs. New techniques are needed to handle these complex, important, high-dimensional models. In this paper we introduce the work-conserving finite-skip class of models. This class includes many important models, such as the heterogeneous M/G/k, the limited processor sharing policy for the M/G/1, the threshold parallelism model, and the multiserver-job model under a simple scheduling policy. We prove upper and lower bounds on mean response time for any model in the work-conserving finite-skip class. Our bounds are separated by an additive constant, giving a strong characterization of mean response time at all loads. When specialized to each of the models above, these bounds represent the first bounds on mean response time known for each setting.
翻译:多服务器排队系统是各种实用系统的核心。 不幸的是,现有的多服务器模型分析工具具有重大局限性:精确分析的技术往往与高维模型挣扎,而衍生界限的技术往往过于专业化,无法处理现实的系统特征,如可变工作服务率等。处理这些复杂、重要、高维模型需要新技术。在本文中,我们引入了工作节省的有限斯基普模型类。这一类包括许多重要模型,如混杂的M/G/k、M/G/1的有限处理共享政策、临界平行模型和简单时间安排政策下的多服务器工作模型。我们证明,在工作节省的定时层级中,任何模型的平均反应时间都有上下限。我们的界限被添加常数分隔开来,对所有负荷的中值反应时间都有强烈的定性。当对以上每一种模型进行专门研究时,这些界限代表了每个环境已知的平均反应时间的第一个界限。