Modeling and adaptive feedback control for multi-class service quality assurance in stress-resilient Internet servers

Internet业务具有流量突发性的特点。为了保护高级客户免受流量激增的影响，同时又不过度牺牲基本客户的需求，压力弹性服务器必须能够以协调的方式控制多类请求的质量，以便在压力条件下实现公平和适度的性能下降。这个项目的目标是开发一个自主的资源管理系统在网络边缘，以支持这种服务质量保证模型。资源管理系统有三个主要创新。第一个是一个应用层的QoS感知的资源管理框架，多类质量保证。它的新奇之处在于能够在多层网站中提供客户感知的端到端页面浏览响应时间的保证。第二个是一个2D服务差异化模型，制定了会话间和会话内维度的基于会话的工作量的要求，并将其与电子商务应用程序中的收入最大化目标。第三个新奇是无模型自校正反馈控制器，它动态地调节资源分配过程，并在长时间和短时间尺度上实现高度的控制鲁棒性。边缘服务器是互联网的重要组成部分，对我们的经济和社会产生深远的影响。这项研究将推进发现和理解的服务质量保证问题的服务器在压力条件下。通过将自主资源管理技术融合到现有的服务器中，本研究将最终提高服务的可用性和对压力和拒绝服务攻击的生存能力。有关互联网服务的研究材料也将被灌输到本科生和研究生分布式计算课程。

Internet services have a characteristic of traffic burstiness. To protect premium customers from traffic surge without over-compromising the needs of basic clients, a stress-resilient server must be able to control the quality of multi-class requests in a coordinated way for fair and graceful performance degradation in stress conditions. The goal of this project is to develop an autonomic resource management system in the network edge in support of such service quality assurance models. The resource management system features three key innovations. First is an application-level QoS-aware resource management framework for multi-class quality assurance. Its novelty lies in the ability to providing guarantees of client-perceived end-to-end page-view response time in multi-tier web sites. Second is a 2D service differentiation model that formulates the requirements of session-based workload in both inter-session and intra-session dimensions and relates it with a revenue maximization objective in e-commerce applications. Third novelty is a model-free self-tuning feedback controller that regulates the process of resource allocation dynamically and achieves a high degree of control robustness in both long and short time scales.Edge servers are a critical building block of the Internet with profound impact on our economy and society. This research will advance discovery and understanding of the service quality assurance problems in servers under a stressed condition. By fusing the autonomic resource management technologies into current servers, this research will ultimately enhance the service availability and survivability to stress and DoS attacks. Research-based materials about Internet services will also be instilled into the undergraduate and graduate distributed computing curriculum.