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Virtualization-based autonomic resource management for multi-tier Web applications in shared data center

机译:共享数据中心中多层Web应用程序基于虚拟化的自主资源管理

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摘要

As large data centers emerge, which host multiple Web applications, it is critical to isolate different application environments for security reasons and to provision shared resources effectively and efficiently to meet different service quality targets at minimum operational cost. To address this problem, we developed a novel architecture of resource management framework for multi-tier applications based on virtualization mechanisms. Key techniques presented in this paper include (1) establishment of the analytic performance model which employs probabilistic analysis and overload management to deal with non-equilibrium states; (2) a general formulation of the resource management problem which can be solved by incorporating both deterministic and stochastic optimizing algorithms; (3) deployment of virtual servers to partition resource at a much finer level; and (4) investigation of the impact of the failure rate to examine the effect of application isolation. Simulation experiments comparing three resource allocation schemes demonstrate the advantage of our dynamic approach in providing differentiated service qualities, preserving QoS levels in failure scenarios and also improving the overall performance while reducing the resource usage cost.
机译:随着托管多个Web应用程序的大型数据中心的出现,出于安全原因隔离不同的应用程序环境并有效地提供共享资源,以最低的运营成本满足不同的服务质量目标至关重要。为了解决这个问题,我们开发了一种基于虚拟化机制的多层应用程序资源管理框架的新颖体系结构。本文提出的关键技术包括:(1)建立基于概率分析和过载管理的非均衡状态分析性能模型; (2)可以通过结合确定性和随机优化算法来解决的资源管理问题的一般表述; (3)部署虚拟服务器以更好地划分资源; (4)调查失败率的影响,以检查应用程序隔离的影响。比较三种资源分配方案的仿真实验证明了我们的动态方法的优势,可以提供差异化​​的服务质量,在故障情况下保留QoS级别,并在降低资源使用成本的同时提高整体性能。

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