SOFTWARE: Job Scheduling for Data Centers with Multi-level Storage Systems

在科学、工程和医学的许多领域，由于先进的传感器技术和大规模模拟技术使高分辨率测量成为可能，并且通过商品PC集群实现廉价、高性能的计算，数据正在以越来越高的速率被收集和生成。为了支持数据驱动科学的数据管理和处理需求，研究机构和超级计算中心将不仅托管、管理和提供对计算资源的访问，而且将部署高端的网格数据中心，本项目的目标是开发调度技术，以提供对具有多级存储层次结构的大规模存储系统上的共享资源的高效访问。我们计划设计，实施和评估调度方法的作业调度器，将控制访问和共享的资源，并将支持高吞吐量和交互式响应，许多同时进行数据分析和计算的大型存储系统上的工作。

Job Scheduling for Data Centers with Multi-Level Storage SystemsAbstractIn many fields of science, engineering, and medicine, data is being collected and generated at an increasing rate, due to high-resolution measurements made possible by advanced sensor technologies and large scale simulations enabled by inexpensive, high-performance computing through commodity PC clusters. In order to support the data management and processing requirements of data driven science, research institutions and supercomputing centers will not only host, manage, and provide access to computing resources but also will deploy high-end, Grid-enabled data centers.The objective of this project is to develop the scheduling technologies to provide efficient access to shared resources on large scale storage systems with multi-level storage hierarchies. We plan to design, implement and evaluate scheduling approaches for job schedulers that will control the access to and sharing of resources and that will support high throughput and interactive responses for many simultaneous data analysis and computing jobs on large storage systems.