HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges
HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges
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DOI：
10.1145/3150224
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发表时间：
2018-04-01
影响因子：
16.6
通讯作者：
Buyya, Rajkumar
中科院分区：
文献类型：
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作者：
Netto, Marco A. S.;Calheiros, Rodrigo N.;Buyya, Rajkumar
高性能计算(HPC)云正在成为执行科学应用程序和业务分析服务的本地群集的替代方案。HPC云方面的大多数研究工作都旨在了解将资源密集型应用程序从内部部署环境迁移到公共云平台的成本效益。行业趋势表明，混合环境是充分利用内部部署和云资源的自然途径-稳定(且敏感)的工作负载可以在内部部署资源上运行，而高峰需求可以按按需付费的方式利用远程资源。然而，在HPC云中有很多问题需要回答，从如何提取未知底层平台的最佳性能到哪些服务是使其更容易使用的关键。此外，关于适合小型和大型用户的正确定价和合同模式的讨论与HPC云的可持续性相关。这篇文章对HPC云的努力进行了调查和分类，并展望了我们认为摆在我们面前的东西，包括一系列研究挑战，一旦解决，这些挑战可以帮助推动业务和科学发现。由于大数据和人工智能带来了快速增长的新HPC应用浪潮，这一点变得尤为重要。
High performance computing (HPC) clouds are becoming an alternative to on-premise clusters for executing scientific applications and business analytics services. Most research efforts in HPC cloud aim to understand the cost benefit of moving resource-intensive applications from on-premise environments to public cloud platforms. Industry trends show that hybrid environments are the natural path to get the best of the onpremise and cloud resources-steady (and sensitive) workloads can run on on-premise resources and peak demand can leverage remote resources in a pay-as-you-go manner. Nevertheless, there are plenty of questions to be answered in HPC cloud, which range from how to extract the best performance of an unknown underlying platform to what services are essential to make its usage easier. Moreover, the discussion on the right pricing and contractual models to fit small and large users is relevant for the sustainability of HPC clouds. This article brings a survey and taxonomy of efforts in HPC cloud and a vision on what we believe is ahead of us, including a set of research challenges that, once tackled, can help advance businesses and scientific discoveries. This becomes particularly relevant due to the fast increasing wave of new HPC applications coming from big data and artificial intelligence.