云中远程桌面性能基准测试和优化的自动化框架

A. Pandey, Lan Vu, Vivek Puthiyaveettil, Hari Sivaraman, Uday Kurkure, Aravind Bappanadu
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引用次数: 7

摘要

在当前将一切迁移到云端的趋势中,基于云的远程桌面也不例外。对用于交付远程桌面的虚拟桌面基础设施(VDI)进行性能优化的基准测试是成功开发和部署规划的重要任务。这项任务在云规模上非常具有挑战性,因为VDI软件架构的快速发展需要管理非常多的远程桌面。在本文中,我们提出了一个评估VDI性能的新框架,该框架具有模拟真实世界VDI工作负载和大规模测量重要性能指标的能力。它的设计目标是提供一些工具,以便轻松地自动化性能基准测试任务,并灵活地适应VDI软件体系结构的变化,这是现有解决方案的两个主要限制。为了评估,我们给出了该框架的性能结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Automation Framework for Benchmarking and Optimizing Performance of Remote Desktops in the Cloud
In the current trend of moving everything into the cloud, cloud-based remote desktops are not an exception. Benchmarking virtual remote desktops for performance optimization is an important task for the successful development and deployment planning of virtual desktop infrastructure (VDI) used to deliver remote desktops. This task is very challenging at cloud scale because of rapid evolution of VDI software architectures with a very large number of remote desktops to be managed. In this paper, we present a new framework for evaluating VDI performance that has the capabilities of simulating real world VDI workloads and measuring important performance metrics at scale. Its design aims to provide facilities to easily automate the performance benchmarking tasks and the flexibility of adapting to changes in VDI software architecture, which are two major limitations of the existing solution. For evaluation, we present performance results of this framework.
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