CRI: A Cost-Effective, Large-Scale Storage Infrastructure for CMU Researchers

摘要提案：CNS 0454279 PI：Gregory R. GangerInstitution：卡内基-梅隆大学课程：NSF 04-588 CISE计算研究架构标题：CRI：面向CMU研究人员的经济高效的大规模存储基础架构 美国梅隆大学的研究人员将利用具有成本效益的组件构建一个原型大规模存储基础设施，并利用该设备探索计算机科学和应用研究。研究人员将获得大约100 TB的存储空间;它将被深度仪器化，以获取有关工作负载，故障，管理任务，电源和其他参数的信息，以支持容错和自我管理的研究。包括网络入侵研究、电路设计和测试以及纳米技术在内的应用将提供现实的工作负载，并得到支持，以实现这些研究领域的进步。更广泛的影响包括创建经济高效的存储架构，以支持数据密集型科学和工程应用。

AbstractProposal: CNS 0454279PI: Gregory R. GangerInstitution: Carnegie-Mellon UniversityProgram: NSF 04-588 CISE Computing Research InfrastructureTitle: CRI: A Cost-Effective, Large-scale Storage Infrastructure for CMU Researchers Investigators at Carnegie-Mellon University will build a prototype large-scale storage infrastructure from cost-effective components and explore computer science and applications research with this equipment. Researchers will acquire approximately 100 Terabytes of storage; it will be deeply instrumented to acquire information on workload, faults, administrative tasks, power and other parameters to support research on fault tolerance and self-management. Applications, including network intrusion research, design and testing of circuits, and nanotechnology will provide realistic workloads as well as be supported to enable advances in these research areas. Broader impacts of this include creation of cost effective storage architectures to support data intensive science and engineering applications.