NGS: Providing and Maximizing Quality of Service in Utility Computing Servers

这项工作提出了新的运行时、操作系统和性能建模技术，通过为未来效用计算服务器中的用户作业提供性能保证和竞争最小化来实现服务质量(Qos)。公用事业计算是一种IT商业模式，用户将计算外包给供应商，供应商管理计算资源，并根据客户使用的实际计算向客户收费。实用计算服务器可能会同时运行多个具有不同性能保证要求的用户作业。智能优点：需要在高性能服务器中提供性能保证。拟议的工作旨在解决。建议的工作将在批处理作业提交系统、操作系统作业调度和性能建模方面取得革命性的进展。具体而言，该方法包括三个新的组成部分：(1)作业接纳策略，它根据服务器满足所请求的服务质量的能力接受或拒绝作业；(2)作业调度策略，它通过最小化多个作业之间的竞争来提高系统吞吐量；(3)竞争预测模型，它预测给定作业调度下的竞争程度及其对作业执行时间的影响。

This work proposes new run-time, operating system, and performance modeling techniques that enable Quality of Service (QoS) through providing performance guarantee and contention minimization for user jobs in future utility computing servers. Utility Computing is an IT business model where users outsource computing to a vendor that manages computing resources and charges its customers based on the actual computing that they use. Utility computing servers will likely simultaneously run many user jobs with varying performance guarantee requirements.Intellectual Merit:The need to provide performance guarantee in high performance servers. The proposed work seeks to address. The proposed work will make revolutionary advances to the current state of the art technology in batch job submission system, OS job scheduling, and performance modeling. More specifically, the proposed approach consists of three new components: (1) Job Admission Strategy that accepts or rejects jobs based on the servers' ability to meet the requested QoS, (2) Job Scheduling Strategy that boosts the system throughput by minimizing the contention among multiple jobs, and (3) Contention Prediction Model that predicts the degree of contention and its impact on job execution times for a given job schedule.Broader Impact:The proposed work takes QoS issues from their traditional area in computer networks to a new area in servers, run-time systems and operating systems.