Using Queuing Models for Large System Migration Scenarios - An Industrial Case Study with IBM System z
Using Queuing Models for Large System Migration Scenarios - An Industrial Case Study with IBM System z
复制标题
将排队模型用于大型系统迁移场景 - IBM System z 的工业案例研究
DOI：
10.1007/978-3-642-40725-3_20
复制
发表时间：
2013
期刊：
影响因子：
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通讯作者：
R. Reussner
中科院分区：
文献类型：
--
作者：
R. Vaupel;Q. Noorshams;S. Kounev;R. Reussner
大型IT组织定期更换其计算机基础设施。在规划这种环境交换时，需要明确考虑对应用程序的服务质量的影响，以避免违反服务水平协议。然而，在目前的实践中，使用明确的性能模型进行这种估计往往是避免由于怀疑其实际的可用性和复杂的环境中的好处。在本文中，我们提出了一个现实世界的案例研究证明，排队模型为基础的方法可以有效地用于预测性能的影响时，迁移到一个新的环境中的工业环境。我们首先提出了一个通用的建模方法，并解释我们如何将其应用于系统迁移的情况。然后，我们提出了一个现实世界的工业案例研究，并展示了如何使用的性能模型。迁移计划针对运行大型银行应用程序的System z环境。最后，我们验证系统迁移后的性能模型，评估预测精度，并讨论可能的局限性。总体而言，测量结果与预测结果非常一致。
Large IT organizations exchange their computer infrastructure on a regular time basis. When planning such an environment exchange, it is required to explicitly consider the impact on the Quality-of-Service of the applications to avoid violations of Service Level Agreements. In current practice, however, using explicit performance models for such estimations is frequently avoided due to scepticism towards their practical usability and benefits for complex environments. In this paper, we present a real-world case study to demonstrate that a queuing model-based approach can be effectively used to predict performance impact when migrating to a new environment in an industrial context. We first present a general modeling methodology and explain how we apply it for system migration scenarios. Then, we present a real-world industrial case study and show how the performance models can be used. The migration is planned for a System z environment running a large scale banking application. Finally, we validate the performance models after the system has been migrated, evaluate the prediction accuracy, and discuss possible limitations. Overall, the measurements show very high agreement with the prediction results.
第五章——排队论
DOI：
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发表时间：
1978
期刊：
影响因子：
--
作者：
A. Allen
通讯作者：
A. Allen