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NeTS: Small: Collaborative Research: Foundation and Design Framework for Incentives and Efficiency of Mobile Crowd Service Systems

NeTS: Small: Collaborative Research: Foundation and Design Framework for Incentives and Efficiency of Mobile Crowd Service Systems
NetS:小型:协作研究:移动人群服务系统激励和效率的基础和设计框架
批准号:
1527303
负责人:
Benyuan Liu
金额:
$22.01万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-10-01 至 2019-09-30

项目摘要

项目成果

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中文摘要
翻译
智能移动的设备(例如,智能手机)已经实现了许多强大的应用程序和服务,从根本上改变了我们生活、工作、娱乐和相互通信的方式。该项目调查了广泛的新兴和快速增长的智能移动的应用,如基于智能手机的合作流和数据共享,基于邻近的动态移动的云,移动的设备到设备计算和机会网络。在这些应用中,服务由移动的用户通过这些用户形成的群体以及通过服务提供商和转售商的处理和销售/转售来提供和消费。该项目为支持这些应用的移动的人群服务(MCS)系统引入了一个有效的设计框架。该框架提供了激励所有用户和服务提供商公平参与此类系统的机制,这对于智能移动的应用程序的持续成功、更广泛的采用和进一步创新至关重要。研究结果将对我们日常生活的许多方面产生重大影响,这些方面已经渗透到智能移动的设备和应用程序中,并将与强大的教育组成部分相结合,包括课程开发,学生培训,招募和吸引代表性不足的学生。该项目为开发有效管理相互作用的实用算法和架构奠定了理论基础和设计范式服务提供商、经销商和移动的用户之间的沟通。该项目首先设计了一套动态算法来激励用户真实、公平地参与主要由动态移动的用户组成的基于邻近度的MCS系统。对于所有参与者之间的交互主导系统动态和性能的系统,该项目开发了一种优化配方,以实现整体系统的效率和稳定性。此外,该项目还调查了玩家可能与系统进行游戏以获得利益的场景。在合作环境下,本研究透过服务提供者与其经销商的合作博弈模型,设计一个公平的收益分享机制。对于所有参与者都是自利但理性地与系统进行博弈的情况,本项目开发了一个非合作博弈进行静态分析,并开发了一个流体模型进行动态分析。该研究考虑到移动的通信的特点,并涵盖了广泛的MCS系统,其特点是动态的用户移动模式,异构的用户类型和服务质量,以及分布式和异步计算的要求。该项目是基于智能移动的设备的移动的网络系统和应用设计的一个重大进步。
英文摘要
Recent advances in smart mobile devices (e.g., smartphones) have enabled many powerful applications and services, fundamentally changing the way we live, work, entertain, and communicate with each other. The project investigates a broad range of emerging and fast-growing smart mobile applications, such as smartphone-based cooperative streaming and data sharing, proximity-based dynamic mobile clouds, mobile device-to-device computing, and opportunistic networking. In those applications, services are provided and consumed by mobile users, through the crowds formed by those users, and through the processing and selling/reselling by service providers and resellers. The project introduces an effective design framework for mobile crowd service (MCS) systems that support those applications. The framework provides mechanisms to incentivize all users and service providers to fairly participate in such systems, which are crucial to the continuing success, wider adoption, and further innovation of smart mobile applications. The outcome of the research will have a significant impact on many aspects of our daily lives that are already permeated by smart mobile devices and applications, and will be integrated with a strong education component including curriculum development, student training, recruiting and engaging underrepresented students.The project develops a theoretic foundation and design paradigms for developing practical algorithms and architecture that effectively manage the interplay between service providers, resellers, and mobile users in a complete MCS ecosystem. The project first designs a set of dynamic algorithms to incentivize users to truthfully and fairly participate in the proximity-based MCS systems that are formed mainly by dynamic mobile users. For systems where the interaction among all players dominates system dynamics and performance, the project develops an optimization formulation to achieve overall system efficiency and stability. Furthermore, the project investigates scenarios where players might game with the system in order to gain benefit. In a cooperative setting, the project designs a fair revenue sharing mechanism through a cooperative game model of a service provider and its resellers. For the case where all players self-interestedly but rationally game with the system, the project develops a non-cooperative game for static analysis, and a fluid model for dynamic analysis. The research takes into consideration the characteristics of mobile communications, and covers a broad range of MCS systems characterized by their dynamic user mobility patterns, heterogeneous user types and service quality, and distributed and asynchronous computation requirements. This project constitutes a significant advance in the design of mobile networked systems and applications based on smart mobile devices.
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CAREER: Coverage, Capacity, and Connectivity of Wireless Sensor Networks
  • 批准号:
    0953620
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $40.3万
  • 财政年份:
    2010
  • 负责人:
    Benyuan Liu
  • 依托单位:
NeTS-WN: Collaborative Research: Cooperative Wireless Networking: Foundations and Practice
  • 批准号:
    0721626
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $15.0万
  • 财政年份:
    2007
  • 负责人:
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  • 依托单位:
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  • 资助金额:
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tRNA-derived small RNA上调YBX1/CCL5通路参与硼替佐米诱导慢性疼痛的机制研究
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  • 资助金额:
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  • 批准年份:
    2022
  • 负责人:
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
    58.0万元
  • 批准年份:
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  • 负责人:
    高学文
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