II-EN: Infrastructure to Support Desktop Virtualization Experiments for Research and Education

II-EN:支持研究和教育桌面虚拟化实验的基础设施

基本信息

  • 批准号:
    1347889
  • 负责人:
  • 金额:
    $ 36.87万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2013
  • 资助国家:
    美国
  • 起止时间:
    2013-01-01 至 2017-05-31
  • 项目状态:
    已结题

项目摘要

This project is a Computing Research Infrastructure Enhancing Infrastructure (CRI II-EN) project focused on measurement and evaluation of thin clients and ?virtual desktop clouds? (VDCs) at Ohio State University . By transitioning their ?traditional desktops? that have dedicated hardware and software installations to VDCs that are accessible via thin-clients, user communities greatly benefit in terms of user convenience, and cost-savings. However, to allocate and manage VDC resources in a scalable and cost-effective manner, cloud service providers are faced with unique challenges. User workload profiles in VDCs are bursty (e.g., during daily desktop startup, when user switches between text and graphic intensive applications), and thin-client user Quality of Experience (QoE) is highly sensitive to network health variations in the Internet. Unfortunately, existing works focus mainly on managing server-side resources based on utility functions of CPU and memory loads, and do not consider network health and thin-client user experience. Resource allocations without combined utility-directed information of system loads, network health and thin-client user experience in VDC platforms inevitably results in costly over-provisioning of resources, even for as few as tens of users. Also, due to lack of tools to measure the user experience from the server-side of VDCs, management functions in VDCs such as configuring thin client protocol parameters are often performed using guesswork, which in turn impacts user QoE. To address the above research challenges in developing scalable VDCs with satisfactory thin-client user QoE, the PIs have developed a ?VMLab? pilot infrastructure that can support desktop virtualization experiments for research and education communities. Over the last two years, this infrastructure has supported: (a) research and development activities relating to VDC resource allocation and thin-client performance benchmarking, (b) desktop virtualization sandboxes for system administrators, (c) virtual desktops for classroom labs involving faculty and students, and (d) evaluation of the feasibility to deploy computationally intensive interactive applications (e.g., remote volume visualization) in virtual desktops. This project will expand the VMLab infrastructure and enable system measurement and user experience evaluation during productive use. Broader ImpactThe broader impacts of this project include serving high-school students and other users from under-represented groups. The proposed research will explore the potential for using the thin-client computing model to provide high-quality user experience to groups otherwise unable to purchase or maintain a full blown PC. The thin-client model may not only be cost effective in terms of purchase costs (assuming end-users do not have to amortize the cost of back-end infrastructure, which is the case in this scenario), but also has a low steady-state cost due to simplicity of device maintenance and troubleshooting. The area of desktop applications hosted in a cloud is an important and rapidly emerging area (both in academia and industry). The broad dissemination of results will have positive impact in an economically valuable technology.
该项目是一个计算研究基础架构增强基础架构(CRI II-EN)项目,重点是对瘦客户和“虚拟桌面云”的测量和评估? (VDC)在俄亥俄州立大学。 通过过渡他们的传统桌面?将专用的硬件和软件安装到可以通过薄信息,用户社区访问的VDC上,在用户便利性方面受益匪浅,并节省成本。但是,要以可扩展且具有成本效益的方式分配和管理VDC资源,云服务提供商面临着独特的挑战。 VDC中的用户工作负载配置文件是爆发的(例如,在每日桌面启动期间,当用户在文本和图形密集型应用程序之间切换时),而稀薄的客户用户体验质量(QOE)对Internet网络健康变化非常敏感。不幸的是,现有作品主要集中在基于CPU和内存负载的实用程序功能的服务器端资源上,并且不考虑网络健康和稀薄的用户体验。资源分配没有组合实用程序负载,网络健康和VDC平台中稀疏的用户体验的组合信息不可避免地会导致资源的昂贵过度提供,即使大量用户也很少。同样,由于缺乏从VDC的服务器端测量用户体验的工具,因此通常使用猜测工作来执行VDC中的管理功能,例如配置薄客户端协议参数,这反过来又影响了用户QOE。为了解决以令人满意的薄客户用户qoe开发可扩展VDC的上述研究挑战,PIS开发了一个VMLAB?可以支持研究和教育社区的桌面虚拟化实验的试点基础设施。 Over the last two years, this infrastructure has supported: (a) research and development activities relating to VDC resource allocation and thin-client performance benchmarking, (b) desktop virtualization sandboxes for system administrators, (c) virtual desktops for classroom labs involving faculty and students, and (d) evaluation of the feasibility to deploy computationally intensive interactive applications (e.g., remote volume visualization) in virtual桌面。 该项目将扩大VMLAB基础架构,并在生产性使用过程中启用系统测量和用户体验评估。该项目的更广泛影响包括为高中生和其他代表性群体的其他用户提供服务。拟议的研究将探索使用薄客户计算模型为小组提供高质量的用户体验的潜力,否则无法购买或维护完整的PC。稀疏客户模型不仅在购买成本方面可能具有成本效益(假设最终用户不必摊销后端基础架构的成本,在这种情况下是这种情况),而且由于设备维护和故障排除的简单性,稳态成本也很低。 在云中托管的桌面应用程序的区域是一个重要且迅速的领域(在学术界和行业中)。 结果的广泛传播将对经济有价值的技术产生积极影响。

项目成果

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Prasad Calyam其他文献

Improving big data governance in healthcare institutions: user experience research for honest broker based application to access healthcare big data
改善医疗机构的大数据治理:基于诚实经纪人的应用程序访问医疗保健大数据的用户体验研究
  • DOI:
    10.1080/0144929x.2023.2196596
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    3.7
  • 作者:
    Kanupriya Singh;Shangman Li;Isa Jahnke;Mauro Lemus Alarcon;A. Mosa;Prasad Calyam
  • 通讯作者:
    Prasad Calyam
Entangled collaborations: tensions in cross-disciplinary user experience studies in cyberinfrastructure projects
纠缠的合作:网络基础设施项目中跨学科用户体验研究的紧张局势
  • DOI:
    10.1080/0144929x.2024.2315325
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Kanupriya Singh;Isa Jahnke;Prasad Calyam
  • 通讯作者:
    Prasad Calyam
Risk-Based Zero Trust Scale for Tactical Edge Network Environments
适用于战术边缘网络环境的基于风险的零信任量表
NeRF-based 3D Reconstruction and Orthographic Novel View Synthesis Experiments Using City-Scale Aerial Images
使用城市规模航空图像进行基于 NeRF 的 3D 重建和正交新视图合成实验
  • DOI:
    10.1109/aipr60534.2023.10440701
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Dylan Callaghan Chapell;Edward Ruien Shang;Taci Kucukpinar;Joshua Fraser;Jaired Collins;V. Sagan;Prasad Calyam;K. Palaniappan
  • 通讯作者:
    K. Palaniappan
Posture identification for stall-housed sows around estrus using a robotic imaging system
  • DOI:
    10.1016/j.compag.2023.107971
  • 发表时间:
    2023-08-01
  • 期刊:
  • 影响因子:
  • 作者:
    Ziteng Xu;Fengkai Tian;Jing Zhou;Jianfeng Zhou;Corinne Bromfield;Teng Teeh Lim;Timothy J. Safranski;Zheng Yan;Prasad Calyam
  • 通讯作者:
    Prasad Calyam

Prasad Calyam的其他文献

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{{ truncateString('Prasad Calyam', 18)}}的其他基金

CICI: UCSS: Trusted Resource Allocation in Volunteer Edge-Cloud Computing Workflows
CICI:UCSS:志愿者边缘云计算工作流程中的可信资源分配
  • 批准号:
    2232889
  • 财政年份:
    2023
  • 资助金额:
    $ 36.87万
  • 项目类别:
    Standard Grant
REU Site: Research in Consumer Networking Technologies
REU 网站:消费者网络技术研究
  • 批准号:
    2243619
  • 财政年份:
    2023
  • 资助金额:
    $ 36.87万
  • 项目类别:
    Standard Grant
CC* Data Storage: Remote Instrumentation Science Environment for Intelligent Image Analytics
CC* 数据存储:用于智能图像分析的远程仪器科学环境
  • 批准号:
    2322063
  • 财政年份:
    2023
  • 资助金额:
    $ 36.87万
  • 项目类别:
    Standard Grant
OAC Core: Small: Collaborative Research: Conversational Agents for Supporting Sustainable Implementation and Systemic Diffusion of Cyberinfrastructure and Science Gateways
OAC 核心:小型:协作研究:支持网络基础设施和科学网关可持续实施和系统扩散的对话代理
  • 批准号:
    2006816
  • 财政年份:
    2020
  • 资助金额:
    $ 36.87万
  • 项目类别:
    Standard Grant
MRI: Acquisition of a Virtual Reality System for Expert Decision Making and Immersive Learning
MRI:获取用于专家决策和沉浸式学习的虚拟现实系统
  • 批准号:
    2018850
  • 财政年份:
    2020
  • 资助金额:
    $ 36.87万
  • 项目类别:
    Standard Grant
REU SITE: Research in Consumer Networking Technologies
REU 站点:消费者网络技术研究
  • 批准号:
    1950873
  • 财政年份:
    2020
  • 资助金额:
    $ 36.87万
  • 项目类别:
    Standard Grant
CC* Integration: End-to-End Performance and Security Driven Federated Data-Intensive Workflow Management
CC* 集成:端到端性能和安全驱动的联合数据密集型工作流管理
  • 批准号:
    1827177
  • 财政年份:
    2018
  • 资助金额:
    $ 36.87万
  • 项目类别:
    Standard Grant
REU SITE: Research in Consumer Networking Technologies
REU 站点:消费者网络技术研究
  • 批准号:
    1659134
  • 财政年份:
    2017
  • 资助金额:
    $ 36.87万
  • 项目类别:
    Standard Grant
US Ignite: Collaborative Research: Focus Area 2: Resilient Virtual Path Management for Scalable Data-intensive Computing at Network-Edges
US Ignite:协作研究:重点领域 2:网络边缘可扩展数据密集型计算的弹性虚拟路径管理
  • 批准号:
    1647182
  • 财政年份:
    2017
  • 资助金额:
    $ 36.87万
  • 项目类别:
    Standard Grant
CC*IIE Engineer: Exploration of Roles and Tools to Fulfill Diverse Researcher Needs in Collaborative Environments
CC*IIE 工程师:探索在协作环境中满足不同研究人员需求的角色和工具
  • 批准号:
    1440582
  • 财政年份:
    2014
  • 资助金额:
    $ 36.87万
  • 项目类别:
    Standard Grant

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II-EN: Enhancing an Infrastructure with an Agile Dexterous Mobile Manipulator for Research on Dynamic Balance
II-EN:利用敏捷灵巧移动机械臂增强基础设施以进行动态平衡研究
  • 批准号:
    1629757
  • 财政年份:
    2016
  • 资助金额:
    $ 36.87万
  • 项目类别:
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II-EN: Microgripper Research Infrastructure
II-EN:微夹钳研究基础设施
  • 批准号:
    1404909
  • 财政年份:
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  • 资助金额:
    $ 36.87万
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II-EN: Hadoop NextGen Infrastructure for Heterogeneous Approaches to Data-Intensive Computing
II-EN:用于数据密集型计算异构方法的 Hadoop NextGen 基础设施
  • 批准号:
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  • 财政年份:
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  • 资助金额:
    $ 36.87万
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II-EN: Infrastructure for Computer Architecture Research
II-EN:计算机体系结构研究基础设施
  • 批准号:
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    $ 36.87万
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II-EN: Compute Infrastructure for Large-Scale Data Analytics
II-EN:大规模数据分析的计算基础设施
  • 批准号:
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  • 资助金额:
    $ 36.87万
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