论文标题
基于签名的IAAS云服务选择
Signature-based Selection of IaaS Cloud Services
论文作者
论文摘要
我们提出了一种新颖的方法，可以在长期提供有限的QoS信息的长期时间内选择IAAS云服务。拟议的方法利用免费的短期试验来获取先前未公开的QoS信息。使用频率分配分析提出了一种新的基于显着性的试验计划，以在短期试验中测试消费者的长期工作量。我们介绍了一种新颖的IaAS签名技术，以唯一确定提供商QoS绩效的可变性。提出了一种基于签名的QoS性能发现（SPD）算法，该算法利用了免费试验和IAAS特征的组合。进行了一组对现实数据集的详尽实验，以评估所提出的方法。
We propose a novel approach to select IaaS cloud services for a long-term period where the service providers offer limited QoS information. The proposed approach leverages free short-term trials to obtain the previously undisclosed QoS information. A new significance-based trial scheme is proposed using frequency distribution analysis to test a consumer's long-term workloads in a short trial. We introduce a novel IaaS signature technique to uniquely identify the variability of a provider's QoS performance. A Signature-based QoS Performance Discovery (SPD) algorithm is proposed which leverages the combination of free trials and IaaS signatures. A set of exhaustive experiments with real-world datasets is conducted to evaluate the proposed approach.
