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.

该项目建议通过提供一种新的更准确的队列延迟预测服务来解决和减少与生产批队列用户所经历的排队延迟相关的不确定性，该服务基于QBETS系统批队列预测系统，现在可用于TeraGrid，开发和部署一个虚拟高级预订系统（VARQ），允许用户进行概率高级预订。开发和部署一个虚拟协同调度系统（CO-VARQ），该系统结合了概率提前预约，以提高效率。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范围，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。