Queue Prediction and Virtualized Scheduling Abstractions for NSF Batch-scheduled Cyberinfrastructure

NSF 批量调度网络基础设施的队列预测和虚拟化调度抽象

• 批准号: 0751315
• 负责人: Richard Wolski
• 金额: --
• 依托单位: University of California-Santa Barbara
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-01-15 至 2014-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0751315&HistoricalAwards=false
• 关键词: Queue; Prediction; Virtualized; Scheduling; Abstractions

This project proposes to address and reduce the productivity-robbing uncertainty associated with queuing delay experienced by production batch queue users by providing a new and more accurate queue delay prediction services based on the QBETS system batch queue prediction system now available for the TeraGrid, developing and deploying a Virtual Advanced Reservation System (VARQ) that allows users to make probabilistic advanced reservations, and developing and deploying a Virtual Co-scheduling System (CO-VARQ) that combines probabilistic advanced reservations both to ?boost? success likelihood, and to enable co-scheduling. QBETS allows users to predict bounds on the delay individual jobs will experience while VARQ and COVARQ permit users to reserve in advance a specific future time slot for each job.

为了解决和减少生产批处理队列用户所经历的与排队延迟相关的生产率损失的不确定性，该项目提出了基于现可用于TeraGrid的QBETS系统批处理队列预测系统的新的和更准确的队列延迟预测服务，开发和部署了允许用户进行概率提前预订的虚拟高级预订系统(Varq)，并开发和部署了结合概率高级预订的虚拟协同调度系统(CO-Varq)。成功的可能性，并启用协同调度。QBETS允许用户预测单个作业将经历的延迟界限，而Varq和COVARQ允许用户提前为每个作业预留特定的未来时间段。