Stabilising Performance in Cloud Services Composition Using Portfolio Theory
Stabilising Performance in Cloud Services Composition Using Portfolio Theory
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DOI：
10.1109/icws.2015.11
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发表时间：
2015-06
期刊：
影响因子：
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通讯作者：
Faisal Alrebeish;Rami Bahsoon
中科院分区：
文献类型：
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作者：
Faisal Alrebeish;Rami Bahsoon
云计算市场上越来越多的服务使得构建云服务组合（CSC）变得合理和有吸引力。然而，由于共享计算基础设施和资源的供需变化，性能不稳定在云环境中很常见。候选组合物易受这种不稳定性的影响。我们提出了一种新的方法来提高性能稳定性，利用设计多样性的原则，在服务组合（S）。该方法使用投资组合理论来构建一个多元化的候选服务，共享最低可能的相关性，他们的表现。我们用一个例子来说明该方法的适用性。通过控制实验验证了该方法在提高CSC性能稳定性方面的有效性。虽然我们的方法的可扩展性进行评估，我们报告其灵敏度和有效性在多个相关设置。
The increasing number of services available in the cloud market make them plausible and attractive for building Cloud Service Compositions (CSC). However, performance instability is common in the cloud environment due to changes in supply and demand of shared computational infrastructure and resources. Candidate compositions are vulnerable to such instability. We propose a novel approach to improve performance stability by leveraging on the principles of design diversity in service composition(s). The approach uses portfolio theory to construct a diversified composition of candidate services that share lowest possible correlation for their performances. We use an exemplar to illustrate the applicability of the approach. Controlled experiments are used to test the approach effectiveness in improving the performance stability of CSC. While the scalability of our approach is evaluated, we report on its sensitivity and effectiveness under multiple correlation settings.