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首页> 外文期刊>IEEE transactions on dependable and secure computing >Markov Regenerative Models of WebServers for Their User-Perceived Availability and Bottlenecks
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Markov Regenerative Models of WebServers for Their User-Perceived Availability and Bottlenecks

机译：Markov Regenerative Models的WebServers，用于他们的用户感知的可用性和瓶颈

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摘要

The Internet world is moving toward a scenario where users and applications have very diverse service expectation, making the current best-effort model inadequate and limiting. To be able to design high-availability service systems, it is essential to consider not only the actual failure and recovery behavior of the service infrastructure, but also the behavioral aspects of its user and their subjective perceptions and reactions in the wake of failure events. In this paper, we propose to use Markov regenerative process (MRGP) models to study the availability of Internet-based services perceived by a Web user on two different online service scenarios: (1) single-user-single-host and (2) single-user-multiple-host. The MRGP models capture the interactions between the service facility and the user. We also detect its parameter bottlenecks by applying the formal sensitivity analysis technique. The trends of the users & x2019; perceived unavailability are analyzed with the changed different parameter values, and the necessity of the sophisticated MRGP modeling is evidenced by the comparisons with the corresponding continuous time Markov chain (CTMC) models, which show that the popular convenient CTMC models tend to overestimate user-perceived service unavailability. Finally, controlled experiments are carried out on a real Web service to demonstrate the proposed approach.
机译：互联网世界正在朝着用户和应用程序具有非常多样化的服务期望的场景，使当前的最佳模型不足和限制。为了能够设计高可用性服务系统，不仅需要考虑服务基础设施的实际故障和恢复行为，还必须考虑其用户的行为方面及其在失败事件之后的主观感知和反应。在本文中，我们建议使用Markov再生过程（MRGP）模型来研究Web用户在两个不同的在线服务场景上感知的基于互联网的服务：（1）单用户单主机和（2）单用户 - 多个主机。 MRGP模型捕获服务设施与用户之间的交互。我们还通过应用正式敏感性分析技术来检测其参数瓶颈。用户趋势＆x2019;通过改变的不同参数值分析了感知的不可用，并且通过与相应的连续时间马尔可夫链（CTMC）模型的比较，证明了复杂MRGP建模的必要性，这表明流行的方便CTMC模型倾向于高估用户感知服务不可用。最后，对实际网络服务进行了控制实验，以展示所提出的方法。

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