Performance evaluation and management of enterprise application systems

组织已变得严重依赖企业应用程序来支持其客户。这些应用程序通常用于提供面向业务的服务，如在线零售和客户关系管理。它们通常部署在复杂的多层平台上，这些平台集成了各种组件，如Web服务器、应用程序服务器和数据库服务器。在构建这种系统时的一个重要考虑因素是用户体验的服务质量(QoS)，例如快速请求响应时间。糟糕的性能可能会让最终用户感到沮丧，并可能给运营这些服务的组织带来经济损失。拟议的研究计划旨在深入了解此类应用程序所经历的工作负载以及用于托管这些应用程序的现代多核服务器和虚拟化平台的属性如何影响性能。该计划的总体目标是利用这些洞察力来设计新的技术来优化和管理企业应用系统的性能。尽管多核服务器和虚拟化迅速激增，但在定义可帮助组织优化此类平台上的企业应用部署的新方法方面还没有足够的工作。现有的绝大多数研究都集中在批量和科学应用上。相比之下，对企业应用程序的关注较少，这些应用程序通常涉及更多终端用户交互，因此受到更严格的性能要求的约束。关注这些应用程序的少数研究没有详细考虑重要因素的影响，如突发性、现代服务器硬件的体系结构特征以及与虚拟化相关的软件瓶颈，这些因素可能会影响它们的性能。缺乏指导方法可能会导致部署不善，从而导致企业遭受严重的财务处罚并失去战略优势。该计划将通过在性能调优、建模和运行时性能管理方面的新努力来弥补这一差距。

Organizations have come to rely heavily on enterprise applications to support their customers. These applications are typically used to provide business-oriented services such as online retailing and customer relationship management. They are often deployed on complex, multi-tiered platforms, which integrate various components such as Web servers, application servers, and database servers. An important consideration in building such systems is the Quality of Service (QoS), e.g., fast request response times, that the users experience. Poor performance can frustrate end users and can cause economic losses to organizations operating these services. The proposed research program seeks to gain an in-depth understanding of how the workloads experienced by such applications as well as properties of the modern multi-core server and virtualization platforms used to host them influence performance. The overarching objective of the program is to leverage such insights to devise novel techniques for optimizing and managing the performance of enterprise application systems.In spite of the rapid proliferation of multi-core servers and virtualization, not enough work exists on defining new methodologies that can help organizations optimize the deployment of enterprise applications on such platforms. A vast majority of existing research has focused on batch and scientific applications. In contrast, lesser attention has been devoted to enterprise applications, which typically involve more end user interaction and are hence governed by more stringent performance requirements. The few studies that have focused on these applications have not considered in detail the implications of important factors such as burstiness, architectural features of modern server hardware, and virtualization-related software bottlenecks, which can influence their performance. The lack of guiding methodologies can result in poor deployments, which cause enterprises to incur severe financial penalties and a loss of strategic edge. This program will bridge this gap through new efforts in the areas of performance tuning, modeling, and runtime performance management.