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，通过为未来的效用计算服务器中的用户作业提供性能保证和争用最小化来实现服务质量（QoS）。效用计算是一种IT业务模型，用户将计算外包给管理计算资源的供应商，并根据客户使用的实际计算向其收费。效用计算服务器可能同时运行许多具有不同性能保证要求的用户作业。智力优势：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。所提出的工作将在批作业提交系统、操作系统作业调度和性能建模方面对当前最先进的技术进行革命性的改进。更具体地说，所提出的方法由三个新组件组成：(1)作业接收策略，根据服务器满足所请求的QoS的能力接受或拒绝作业；(2)作业调度策略，通过最小化多个作业之间的争用来提高系统吞吐量；(3)争用预测模型，预测给定作业调度的争用程度及其对作业执行时间的影响。更广泛的影响：建议的工作将QoS问题从计算机网络的传统领域带到服务器、运行时系统和操作系统的新领域。

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.