论文标题
关于非马克维亚性能模型
On Non-Markovian Performance Models
论文作者
论文摘要
我们提出了一种方法，当网络或系统性能由不是马尔可夫人的模型描述时，该方法可能很有用。尽管大多数性能模型基于马尔可夫连锁店或马尔可夫流程，但在某些情况下，马尔可夫属性不存在。例如，当系统表现出远距离依赖性时，可能会发生这种情况。对于这种情况和其他非马克维亚案例，我们的方法可能会提供有用的帮助。
We present an approach that can be useful when the network or system performance is described by a model that is not Markovian. Although most performance models are based on Markov chains or Markov processes, in some cases the Markov property does not hold. This can occur, for example, when the system exhibits long range dependencies. For such situations, and other non-Markovian cases, our method may provide useful help.
