EAGER: Stream500: A New Benchmark and Infrastructure for Streaming Analytics

大规模数据分析对于国家战略计算计划（NSCI）和NSF的科学发现使命至关重要。数据密集型超级计算应用对于高性能计算工作负载越来越重要。目前的基准和性能指标不提供有用的信息，计算系统的数据密集型应用程序的适用性。这项研究工作将产生一个新的Stream500基准，作为Graph500的补充，它复制了流分析工作负载。目前的基准能力将得到扩大，使现有的网络基础设施能够接受提交的多个基准。

Large-scale data analytics is essential to the National Strategic Computing Initiative (NSCI) and NSF's scientific discovery mission. Data-intensive supercomputing applications are increasingly important for high performance computing workloads. Current benchmarks and performance metrics do not provide useful information on suitability of computing systems for data-intensive applications. This research effort will produce a new Stream500 benchmark, complementary to Graph500, that replicates streaming analytics workload. The current benchmark capabilities will be expanded by enabling the exiting web-based infrastructure to accept submissions for multiple benchmarks.