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Mirantis > 实例探究 > Leading Dutch Biodiversity Institute Transforms Scientific Computing, Welcomes Third Party Research Collaboration
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Leading Dutch Biodiversity Institute Transforms Scientific Computing, Welcomes Third Party Research Collaboration

技术
  • 应用基础设施与中间件 - 数据交换与集成
  • 基础设施即服务 (IaaS) - 云计算
  • 基础设施即服务 (IaaS) - 云存储服务
适用行业
  • 教育
  • 生命科学
适用功能
  • 产品研发
  • 质量保证
服务
  • 云规划/设计/实施服务
  • 数据科学服务
  • 系统集成
挑战
Over the last few years, the Naturalis Biodiversity Center has expanded to meet the growing needs of the scientific community. To better serve the community, the Center combined previously separate organizations, including a thriving natural history museum, and quickly became a 700-person entity, with 100 resident scientists, 200 guest researchers, and an IT staff of 35 to support these professionals. Additionally, a 30 million Euro grant from the Dutch Economic Structure Enhancement Fund allowed expansion of state-of-the-art laboratories and research collaboration, and the initiation of one of the world’s largest projects for natural history digitization to date. Concurrently, DNA sequencing, 3D, and GIS technologies led to the proliferation of scientists’ data sets. Combined with the trend to analyze relationships between species, the Center required more scalable and powerful compute resources. By the end of 2013, the Center’s IT department had consolidated resources and was ready to address its systems’ constraints to support the next phase of organizational growth.
关于客户
Research experts around the world exploring plant and animal sustainability are now taking note of the scientific resources of the Naturalis Biodiversity Center. The Netherlands based Center recently expanded third party access to its 37 million natural history object catalog to promote species’ wellbeing and the planet’s future. Through collaboration with universities and partner institutes, the government funded Center now has one of the largest collections of data to analyze biological and geological diversity, as well as endangered species and address the threat of extinction. To accelerate groundbreaking research, this information, housed on the Center’s scalable, high performance OpenStack cloud, is now accessible to the scientific community through a published application program interface (API). If they don’t know about it already, every scientist collecting, conserving or studying organisms across the globe should discover the Naturalis Biodiversity Center – the single center of expertise for pooling knowledge on species and evolution.
解决方案
In early 2014, a project team was formed and the members began their search for open source cloud technologies and quickly found the OpenStack technologies and community to be an attractive answer. The team downloaded and installed an OpenStack cloud and were satisfied with its functionality but concerned about maintaining its growth. The team then learned of Mirantis’ strong expertise as a pure-play, vendor agnostic provider of OpenStack distribution and services, and contacted the organization. Using Mirantis’ reference architecture and documentation, the group educated themselves on the technology and built themselves a small working system. Satisfied with the initial system, the team gained additional OpenStack knowledge and expanded the cloud to accommodate multiple workloads – high performance compute for research scientists, storage for the digitized catalog , and web servers for data sharing. The Naturalis IT team used the OpenStack Fuel tool, included in the Mirantis OpenStack distribution, to deploy and manage all components of their cloud, and Puppet for configuration management. With expansion, Intel based systems were moved to commercial data centers in Delft and Amsterdam in a high availability configuration.
运营影响
  • As a result of the Mirantis OpenStack deployment, the Center’s scientists have much faster and more democratized access to high performance research systems.
  • Calculations that previously took weeks are now completed in days or even hours. And researchers have the freedom and control to quickly scale, return, and rebuild resources as needed.
  • Rapid scaling of storage for digitizing the 37 million object catalog is substantially more efficient and affordable than before the OpenStack and Ceph deployment.
数量效益
  • 10x faster research calculations – from weeks to days
  • Increase in efficiency of data storage and file backup
  • 10-minute provisioning of new web servers

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