MRI: Acquisition of an Adaptive Data Cluster for Data-intensive Applications in Science and Engineering

该项目为高端应用获取自适应多pb可扩展存储集群，旨在为多个研究领域提供服务，如：基因组学、生物信息学、计算机安全、数字人种学、环境建模和计算机科学。灵活存储包括具有综合计算能力的集成多pb磁盘系统和可扩展的磁带归档系统，适用于数据和存储密集型应用。系统允许I/ o限制的计算直接在存储节点上执行（不像传统的存储集群），也可以作为一个具有大量带宽的分布式文件系统，允许cpu限制的计算从现有的集群计算资源中受益（不像典型的Hadoop集群）。该工具使-更深入地研究基因组建模，超采掘经济和表型-带来与计算资源相关的更大数据容量，-应对重大挑战（例如，预测生态系统对自然和人为的全球和区域变化的反应）。-在高通量表型、计算机安全和基因组注释方面开发新算法（从而通过混合平台实现新科学）。因此，存储集群构成了一个关键需求的开创性组件，一个基于校园的数据沉浸式计算设施，不仅在该机构，而且在整个州，因为该机构目前没有一个具有“大数据”高端计算能力的中心设施。随着新的算法被开发出来，以更好地模拟网络交互，从而提高金融和网络基础设施的能力、弹性和抵抗力，可能会感受到对网络安全研究的多学科影响。它还有助于培训新一代的研究人员，使他们掌握数据密集型计算的工具和技术，并在他们的研究需要超过当地资源时方便他们迁移到XSEDE。在开发更好的水、生态和经济因素相互作用的模型时，它可以为保护环境做出贡献。此外，它可以加强和整合K-12、本科和研究生阶段的生物信息学教育工作（例如，编写教育材料，影响K-12和STEM教育，如“it 's a BLAST”和针对女高中生的GROW讲习班）。最终，它允许社区学院和非博士学位授予机构通过EPSCoR州扩展大数据，使许多研究人员和教育工作者受益。

This project, acquiring an adaptive multi-petabyte scalable storage cluster for high-end applications, aims to service multiple research areas such as: genomics, bioinformatics, computer security, digital ethnography, environmental modeling, and computer science. The flexible storage consists of an integrated multi-petabyte disk system with integrated compute capabilities and a scalable tape archive system for data and storage intensive applications. The system allows I/O-limited calculations to be performed directly on the storage nodes (unlike the traditional storage clusters) and can also act as a distributed file system with massive bandwidth to allow CPU-limited calculations to benefit from existing cluster computational resources (unlike typical Hadoop clusters). The instrument enables - Looking deeper in modeling genomes, hyper-extractive economies and phenotyping- Bringing greater data capacity tied to computational resourcing,- Attacking grand challenges (e.g., forecasting responses of ecological systems to natural and anthropogenic global and regional change).- Developing new algorithms in high-throughput phenotyping, computer security, and genome annotation (hence enabling a new science with the hybrid platform).Thus, the storage cluster constitutes a seminal component for a critical need, a campus-based facility for data immersive computing, not only at the institution, but for the entire state, since the institution currently does not have a central facility with capability for 'big data' high-end computing. As new algorithms are developed for better modeling cyber interactions that can lead to increase the financial and network infrastructure's ability, resiliency, and resistance, multidisciplinary impacts on cybersecurity research are likely to be felt. It can also contribute to train a new generation of researchers in tools and techniques for data-intensive computing and ease their migration to XSEDE when their research needs exceed the local resources. It can contribute to protect the environment when developing better models of the interaction of water, ecology, and economic factors. Moreover, it can enhance and integrate educational efforts at the K-12, undergraduate, and graduate levels in bioinformatics (e.g., preparation of educational materials, impacting the K-12 and STEM education such as 'It's a BLAST' and GROW workshops for female high school students). Ultimately, it allows access to community colleges and non-PhD granting institutions to extend big data through and EPSCoR state, enabling many researchers and educators.