科学计算实验的桌面到云迁移
Desktop to Cloud Migration of Scientific Computing Experiments
摘要：
科学计算应用通常需要大量的计算能力。云提供了有趣的高性能计算解决方案，其承诺几乎无限的资源需求。然而，将科学计算问题迁移到云以及在供应商提供的操作系统和云实例上重新创建软件环境通常是一项艰巨的任务。还假设执行实验的科学家具有计算机科学、云计算和迁移过程的丰富知识，这通常是不正确的。考虑到这些障碍，我们设计了一个工具套件，可以将完整的软件环境直接迁移到云端。开发的桌面到云迁移（D2CM）工具支持虚拟机映像的转换和迁移，可重用的部署描述和生命周期管理，适用于托管在Amazon Cloud或兼容基础设施（如Eucalyptus）上的应用程序。本文还提出了一个电化学的案例研究和计算实验针对设计现代超级电容器。这些实验在绘制特定领域的结果中广泛使用了该工具。对案例的详细分析表明，D2CM工具不仅简化了科学家的迁移过程，而且通过为他们提供一个新的维度--计算实验的成本-价值，帮助他们优化计算和计算集群。
英文摘要：
Scientific computing applications usually need huge amounts of computational power. The cloud provides interesting high-performance computing solutions, with its promise of virtually infinite resources on demand. However, migrating scientific computing problems to clouds and the re-creation of software environment on the vendor-supplied OS and cloud instances is often a laborious task. It is also assumed that the scientist who is performing the experiments has significant knowledge of computer science, cloud computing and the migration procedure, which is often not true. Considering these obstacles, we have designed a tool suite that migrates the complete software environment directly to the cloud. The developed desktop-to-cloud-migration (D2CM) tool supports transformation and migration of virtual machine images, reusable deployment description and life-cycle management for applications to be hosted on Amazon Cloud or compatible infrastructure such as Eucalyptus. The paper also presents an electrochemical case study and computational experiments targeted at designing modern supercapacitors. These experiments have extensively used the tool in drawing domain specific results. Detailed analysis of the case showed that D2CM tool not only simplifies the migration procedure for the scientists, but also helps them in optimizing the calculations and compute clusters, by providing them a new dimension -- cost-to-value of computational experiments.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
