SimHUB: Enabling Multidisciplinary Collaboration with Containerization Technologies
SimHUB: Enabling Multidisciplinary Collaboration with Containerization Technologies
批准号:
1812658
负责人:
Jian Tao
金额:
$1.8万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-12-15 至 2018-11-30
中文摘要
该奖项支持旅行,以促进国家科学基金会(NSF)和日本科学技术振兴机构(JST)支持的研究人员之间的合作。项目负责人Jian Tao博士将前往日本,与Kogakuin大学Saneyasu Yamaguchi博士的研究小组合作,改进基于容器的虚拟化的输入/输出(I/O)性能。陶建博士还将与南方大数据区域创新中心的成员合作,促进和支持美国和国际研究人员在沿海灾害研究方面的合作。云计算技术,特别是基于容器化技术构建的容器,提供了极其灵活和可移植的计算环境,可以对其进行定制,以满足科学研究的广泛计算需求。为了使传统的计算科学社区为现有的和即将到来的云计算和网络系统做好准备,这次合作将使模拟中心(SimHUB)的设计和开发成为可能,SimHUB是一个基于网络的计算平台,用于容器上的科学应用。它可以在连接的社区之间快速共享和集成建模应用程序和计算工具。它还为多学科和综合研究提供了一个协作平台。
英文摘要
This award supports travel to enable collaborations among National Science Foundation (NSF)- and Japan Science and Technology Agency (JST)-supported researchers. The PI, Dr. Jian Tao, will travel to Japan to collaborate with Dr. Saneyasu Yamaguchi's research group from Kogakuin University to improve the Input/Output (I/O) performance of container-based virtualization. Dr. Jian Tao will also work with members from the South Big Data Regional Innovation Hub to promote and support collaborations among US and international researchers on coastal hazards research. Cloud computing technologies, especially containers built upon the containerization technologies, enable an extremely flexible and portable computing environment that could be tailored to meet a wide spectrum of computing requirements for scientific research. In order to prepare traditional computational science communities for the existing and upcoming cloud-like computing and networking systems, this collaboration will enable the design and development of Simulation Hub (SimHUB), a web-based computing platform for scientific applications on containers. It enables rapid sharing and integration of modeling applications and computational tools among connected communities. It also provides a collaborative platform for multidisciplinary and integrative research.
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BIGDATA: Small: DCM: Collaborative Research: An efficient, versatile, scalable, and portable storage system for scientific data containers
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批准号:1723292
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项目类别:Standard Grant
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资助金额:$0.2万
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财政年份:2017
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负责人:Jian Tao
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依托单位:
BIGDATA: Small: DCM: Collaborative Research: An efficient, versatile, scalable, and portable storage system for scientific data containers
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批准号:1251095
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项目类别:Standard Grant
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资助金额:$15.0万
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财政年份:2013
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负责人:Jian Tao
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依托单位:
海外基金