EAGER: Thin Client Performance Benchmarking based Resource Adaptation in Virtual Desktop Clouds

流行的应用程序，如电子邮件、图像/视频库和文件存储越来越多地得到云的支持。住宅、学术界和工业界的平台。这些用户群体的下一个前沿领域将是转型？传统的台式机吗?有专门的硬件和软件配置吗？虚拟桌面云？可以通过瘦客户机访问。该项目旨在开发最优的资源分配框架和性能基准测试工具，以便在互联网规模上构建和管理基于瘦客户机的虚拟桌面云。虚拟桌面云实验将在真实的用户和系统负载下进行，利用多种GENI资源，如聚合、用户选择机制、测量服务和实验者工作流工具。项目成果将有助于最小化代价高昂的云资源过度承诺，避免瘦客户机协议配置猜测，同时提供最佳的用户体验。此外，它们将对计算机桌面用户社区、类似geni的测试平台和设备供应商产生积极影响。

Popular applications such as email, image/video galleries, and file storage are increasingly being supported by ?cloud? platforms in residential, academia and industry communities. The next frontier for these user communities will be to transition ?traditional desktops? that have dedicated hardware and software configurations into ?virtual desktop clouds? that are accessible via thin clients. This project aims to develop optimal resource allocation frameworks and performance benchmarking tools that can enable building and managing thin-client based virtual desktop clouds at Internet-scale. Virtual desktop cloud experiments under realistic user and system loads will be conducted by leveraging multiple kinds of GENI resources such as aggregates, user opt-in mechanisms, measurement services and experimenter workflow tools. Project outcomes will help in minimizing costly cloud resource over-commitment, and in avoiding thin client protocol configuration guesswork, while delivering optimum user experience. Further, they will positively impact computer desktop user communities, GENI-like testbeds, and equipment vendors.