Applications of neural-based spot market prediction for cloud computing
Applications of neural-based spot market prediction for cloud computing
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基于神经网络的现货市场预测在云计算中的应用
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
L. Grandinetti
中科院分区：
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作者：
Richard M. Wallace;V. Turchenko;Mehdi Sheikhalishahi;I. Turchenko;Vladyslav Shults;J. L. Vázquez;L. Grandinetti
面向服务的体系结构（SOA）、虚拟化、高速网络和云计算方面的进步导致了有吸引力的即用即付服务。这些系统上的作业调度导致了对计算时间的商品竞标。亚马逊为其弹性云计算（EC2）环境将这种招标制度化，其他云计算供应商以及多云和集群计算代理（如SpotCloud）也存在这种招标方法。计算的商品竞标导致了复杂的现货价格模型，这些模型具有特定的策略来提供对过剩容量的需求。在本文中，我们将讨论提供现货定价和投标的供应商，并提出一个基于神经网络的未来现货价格预测模型，让用户对未来价格有很高的信心，从而帮助商品计算中的投标。
Advances in service-oriented architectures (SOA), virtualization, high-speed networks, and cloud computing has resulted in attractive pay-as-you-go services. Job scheduling on these systems results in commodity bidding for computing time. This bidding is institutionalized by Amazon for its Elastic Cloud Computing (EC2) environment and bidding methods exist for other cloud-computing vendors as well as multi-cloud and cluster computing brokers such as SpotCloud. Commodity bidding for computing has resulted in complex spot price models that have ad-hoc strategies to provide demand for excess capacity. In this paper we will discuss vendors who provide spot pricing and bidding and present a predictive model for future spot prices based on neural networking giving users a high confidence on future prices aiding bidding on commodity computing.