Acquisition of a Scalable Storage Cluster for Data Intensive NIH Research

描述：加州大学河滨分校的科学家从事对人类健康至关重要的广泛研究课题，包括神经科学、癌症研究、环境健康、伤口愈合、退行性疾病和传染病。现代大规模基因组学和计算建模方法通常应用于该研究，例如下一代测序（NGS）和许多其他高通量技术。由于这些技术输出非常大的数据集，有效处理这些“大数据”所需的基于磁盘的数据存储已成为支持nih资助的生物医学研究计算需求的主要瓶颈。加州大学河滨分校的研究计算基础设施由位于综合基因组生物学研究所（IIGB）的中央生物信息学设施提供，该设施拥有三个额外的技术核心（基因组学，显微镜学和蛋白质组学）。然而，由于需求非常高，生物信息学设施的现有存储系统正在以最大容量运行，影响了其支持数据密集型生物医学研究的能力。这种数据溢出常常导致以时间效率的方式处理新研究数据集的延迟，从而减缓了许多项目的发现过程。该申请的目的是解决数据存储资源短缺的问题，申请资金用于购买高度可扩展的磁盘存储系统，专门为加州大学河滨分校的数据密集型NIH研究提供长期支持。由于我们的磁盘存储需求（目前约为150TB）每年都以近两倍的速度增长，因此需要一个750GB的存储系统来支持我们当前未来三年的存储增长速度。三年以后的增长资金将由完善的充电系统提供。IIGB的生物信息学设施跨部门运作，致力于为广泛的用户群提供服务。因此，所要求的存储系统的资金将是一项极具成本效益的投资，它将达到加州大学河滨分校NIH研究人员的最大数量。此外，由于加州大学河滨分校将成为几十年来加州第一所新医学院的所在地，它将使越来越多的新生物医学研究人员移居加州大学河滨分校受益。结合加州大学河滨分校的多元化种族和研究使命，这项投资将有利于校园内广泛的生物医学研究方向，这是加州内陆帝国地区的主要经济驱动力。

DESCRIPTION: Scientists at UC Riverside work on a wide spectrum of research topics critical to human health including neuroscience, cancer research, environmental health, wound healing, degenerative and infectious diseases. Modern large-scale genomics and computational modeling approaches are routinely applied in this research, such as next generation sequencing (NGS) and numerous other high- throughput technologies. Because these technologies output extremely large data sets, disk-based data storage required to process these "Big Data" efficiently has become a major bottleneck to support the computational needs of NIH-funded biomedical research. UC Riverside's research compute infrastructure is provided by a central bioinformatics facility located in the Institute for Integrative Genome Biology (IIGB), which houses three additional technology cores (Genomics, Microscopy and Proteomics). However, due to the very high demand, the existing storage systems of the bioinformatics facility are operating at maximum capacity impacting its ability to support data intensive biomedical research. This data overflow results often in delays of processing new research data sets in a time- efficient manner, thus slowing down the discovery process of many projects. The objective of this application is to resolve this shortage of data storage resources by requesting funds for the acquisition of a highly scalable disk storage system dedicated to provide long-term support for data intensive NIH research at UC Riverside. Because our disk storage needs (currently ~150TB) increase by a factor of nearly two every year, a storage system with 750GB is required to support our current storage growth rates for the next three years. Funding for growth well beyond year three will be provided by a well- established recharging system. IIGB's bioinformatics facility operates across departments and is committed to serve a broad user base. Thus, the funding for the requested storage system will be a highly cost-effective investment and it will reach a maximum number of NIH investigators at UC Riverside. Moreover, it will benefit a rapidly growing number of new biomedical researchers moving to UC Riverside, as it will be the site of the first new medical school in California in decades. Combined with UC Riverside's diverse ethnicity and research mission, this investment will benefit a wide array of biomedical research directions at a campus that is a major economic driving force in the Inland Empire region of California.