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Exploring continuous optimization solutions for business-driven IT management problems

机译：探索针对业务驱动的IT管理问题的持续优化解决方案

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Business-driven IT management practices often involve the performance optimization of a system according to business criteria. The increased attention to dynamical aspects of the system behavior, the preference for simulative approaches rather than analytical ones, and the increased level of complexity posed by business-driven performance evaluation significantly complicate the optimization of BDIM systems and demand a radical rethinking of methodologies and tools. This raises the opportunity to devise and implement common methodology and tools that could be used for a large class of different BDIM optimization problems. This paper proposes a generic framework for the dynamic and adaptive optimization of BDIM systems, introduces the Open Source ruby-mhl metaheuristics library, and provides an experimental evaluation in the context of a realistic case study.
机译：业务驱动的IT管理实践通常涉及根据业务标准对系统的性能进行优化。对系统行为动态方面的关注日益增加，对仿真方法而非分析方法的偏爱，以及业务驱动的性能评估带来的复杂性水平的提高，极大地使BDIM系统的优化复杂化，并要求对方法和工具进行彻底的重新思考。这为设计和实现可用于大量不同的BDIM优化问题的通用方法和工具提供了机会。本文为BDIM系统的动态和自适应优化提出了一个通用框架，介绍了开源ruby-mhl元启发式库，并在实际案例研究的背景下提供了实验评估。

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