CSR: Small: Feedback-Controlled Management of Virtualized Resources for Predictable Escience

在企业内部提倡使用Escience的虚拟机来取代老化的机器，并作为云计算的基础技术，科学研究人员可以“租用”它。服务器随需应变。然而，这两种情况都可能导致性能不足。在企业中，如果规划不正确，或者在意外的重负载甚至中等负载下，可能没有足够的物理容量让每个虚拟机实现合理的性能。在基于云计算的场景中，租户？很大程度上受制于云提供商基于粒度的非正式服务承诺，这种粒度可能过于粗糙或处于错误的抽象级别。该项目追求一种新颖的统一框架，以确保基于这两种主要的虚拟化资源新兴用途的可预测的Escience。该方法的基础是将Escience应用程序封装在性能容器框架中，并动态调节应用程序。通过应用形式反馈控制理论对S性能进行控制。应用程序?监控和确保作业的进度，使其达到其性能目标（例如，截止日期），即使在存在大量意外干扰的情况下，也不需要独占物理资源。该项目扩展了这一基础，并在三个重要方面取得了早期成果：为非专业人员使用该框架提供支持；在Eucalyptus（主要的开源云计算框架之一）中实现这些技术；并将这些技术应用于软件即服务？（SaaS），其中对云中的应用程序进行管理，以提供可预测的性能。

The use of virtual machines for Escience has been advocated both within the enterprise to replace aging machines and as the underlying technology of cloud computing whereby scientific researchers can ?rent? servers on demand. However, both scenarios can lead to inadequate performance. Within the enterprise, with incorrect planning or under unexpected heavy or even moderate load, there might not be enough physical capacity for every virtual machine to achieve reasonable performance. In cloud-computing-based scenarios, the ?renters? are largely subject to the informal service promises of the cloud provider based on a granularity that can be too coarse or at the wrong level of abstraction. This project pursues a novel unified framework to ensure predictable Escience based on these two dominant emerging uses of virtualized resources. The foundation of the approach is to wrap an Escience application in a performance container framework and dynamically regulate the application?s performance through the application of formal feedback control theory. The application?s progress is monitored and ensured such that the job meets its performance goals (e.g., deadline) without requiring exclusive access to physical resources even in the presence of a wide class of unexpected disturbances. This project extends this foundation and early results in three important dimensions: creating support for non-specialists to use the framework; implementing these techniques in Eucalyptus, one of the major open-source cloud computing frameworks; and applying the techniques to ?Software-as-a-Service? (SaaS), in which applications in the cloud are regulated to provide predictable performance.