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Probabilistic Reliability Prediction Models for Task Scheduling in Distributed Systems: A Review

机译:分布式系统任务调度的概率可靠性预测模型:评论

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摘要

In service-oriented distributed systems, beside time and cost, reliability is the most important concern to both service users and the service providers. Although, this has been many decades problem, the existence of large number of service systems on the internet today has rendered the problem more difficult. This is because the distributed environment of today is more complex with numerous uncertainties and chances of failure at all levels. Therefore, selection of reliable service poses a serious challenge. To combat this problem, over the years, huge number of reliability researches has been reported in literature. These researches have been categorized and analysed in many survey and review studies, However, most of these studies focus on the architecture-based reliability mechanisms and pay little attention to the advances in the popular probabilistic reliability prediction methods which are based on quantitative reliability measurements. These methods which are sometimes called 'black box' techniques are of great importance to both service designers and service clients such as brokers and other proprietary schedulers, for evaluating reliability of services or service components. Therefore, in this study the previous survey and review studies are extended by analyzing these methods and their recently proposed variants. In the end the study reveal some of the current issues that need further research.
机译:在面向服务的分布式系统中,除了时间和成本,可靠性是服务用户和服务提供商的最重要关注点。虽然这是几十年的问题,但今天互联网上的大量服务系统存在的存在使问题更加困难。这是因为今天的分布式环境更复杂,在各级的许多不确定性和失败的可能性。因此,选择可靠的服务造成严重挑战。为了解决这个问题,多年来,文学中报告了大量的可靠性研究。这些研究已在许多调查和审查研究中分析和分析,但是这些研究中的大多数研究都侧重于基于架构的可靠性机制,并且很少关注基于定量可靠性测量的流行概率可靠性预测方法的进步。这些方法有时称为“黑色盒子”技术对于服务设计人员和服务客户​​(例如经纪人和其他专有调度仪)非常重要,用于评估服务或服务组件的可靠性。因此,在本研究中,通过分析这些方法及其最近提出的变体来扩展先前的调查和审查研究。最后,研究揭示了一些需要进一步研究的当前问题。

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