HEC: Active Storage Networks for High End Computing

HEC：用于高端计算的主动存储网络

• 批准号: 0621448
• 负责人: John Chandy
• 金额: $ 53.81万
• 依托单位: University of Connecticut
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0621448&HistoricalAwards=false
• 关键词: HEC; Active; Storage; Networks; End

Storage subsystems have long been the bottleneck of computer system performance. In recent years, developments in object-based storage systems and parallel file systems have demonstrated the ability to scale aggregate throughput for large data transfers in network storage systems. Yet, there are application workloads that are not amenable to parallel I/O classes and as such do not benefit from these recent advances. Such applications include those that are dominated by small data transfers and heavy file system transactional usage as well as I/O patterns that are characterized by reduction operations.The PIs present an approach to extract scalable performance by inserting active elements in the network. These active storage networks can draw on knowledge of overall data layout as well as the ability to process all data that is retrieved from the actual storage node. The PIs plan to incorporate reconfigurable components in the network to perform these operations in hardware.

存储子系统一直是计算机系统性能的瓶颈。近年来，基于对象的存储系统和并行文件系统的发展已经证明了在网络存储系统中扩展用于大数据传输的聚合吞吐量的能力。然而，有些应用程序工作负载不适合并行I/O类，因此无法从这些最新进展中受益。这样的应用程序包括那些占主导地位的小数据传输和繁重的文件系统事务的使用，以及I/O模式，其特征在于减少操作。PI提出了一种方法，通过在网络中插入活动元素，以提取可扩展的性能。这些主动存储网络可以利用总体数据布局的知识以及处理从实际存储节点检索的所有数据的能力。PI计划在网络中加入可重新配置的组件，以便在硬件中执行这些操作。