标题： 非马尔可夫性能模型 显示英文标题

标题： On Non-Markovian Performance Models

摘要： 我们提出一种方法，当网络或系统性能由非马尔可夫模型描述时，该方法可能有用。 尽管大多数性能模型基于马尔可夫链或马尔可夫过程，但在某些情况下，马尔可夫性质并不成立。 例如，当系统表现出长距离依赖性时就会出现这种情况。 对于这些情况以及其他非马尔可夫的情况，我们的方法可能提供有用的帮助。 显示英文摘要

摘要： 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.