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Assessing Measurements of QoS for Global Cloud Computing Services

机译:评估全球云计算服务的QoS度量

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Many global distributed cloud computing applications and services running over the Internet, between globally dispersed clients and servers, will require certain levels of Quality of Service (QoS) in order to deliver and give a sufficiently smooth user experience. This would be essential for real-time streaming multimedia applications like online gaming and watching movies on a pay as you use basis hosted in a cloud computing environment. However, guaranteeing or even predicting QoS in global and diverse networks supporting complex hosting of application services is a very challenging issue that needs a stepwise refinement approach to be solved as the technology of cloud computing matures. In this paper, we investigate if latency in terms of simple Ping measurements can be used as an indicator for other QoS parameters such as jitter and throughput. The experiments were carried out on a global scale, between servers placed in universities in Denmark, Poland, Brazil and Malaysia. The results show some correlation between latency and throughput, and between latency and jitter, even though the results are not completely consistent. As a side result, we were able to monitor the changes in QoS parameters during a number of 24-hour periods. This is also a first step towards defining QoS parameters to be included in Service Level Agreements for cloud computing in the foreseeable future.
机译:通过Internet在全球分布的客户端和服务器之间运行的许多全球分布式云计算应用程序和服务将需要一定级别的服务质量(QoS),以便提供并提供足够流畅的用户体验。这对于实时流式多媒体应用程序(例如在线游戏)以及在使用时托管在云计算环境中的付费观看电影至关重要。然而,在支持应用程序服务的复杂托管的全球性和多样化网络中,保证甚至预测QoS是一个非常具有挑战性的问题,随着云计算技术的成熟,需要逐步完善解决方案。在本文中,我们研究了是否可以将根据简单Ping测量得出的延迟用作其他QoS参数(如抖动和吞吐量)的指标。这些实验是在全球范围内的丹麦,波兰,巴西和马来西亚的大学中的服务器之间进行的。结果显示了延迟和吞吐量之间以及延迟和抖动之间的一些相关性,即使结果并不完全一致。附带的结果是,我们能够监控24小时内QoS参数的变化。这也是在可预见的将来定义要包含在云计算的服务级别协议中的QoS参数的第一步。

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