Collaborative Research: SAI-P: Public Multi-Access Edge Cloud (pMEC) as a Community-Based Distributed Computing Infrastructure for Emerging Real-Time Applications

合作研究:SAI-P:公共多路访问边缘云 (pMEC) 作为新兴实时应用的基于社区的分布式计算基础设施

基本信息

项目摘要

Strengthening American Infrastructure (SAI) is an NSF Program seeking to stimulate human-centered fundamental and potentially transformative research that strengthens America’s infrastructure. Effective infrastructure provides a strong foundation for socioeconomic vitality and broad quality of life improvement. Strong, reliable, and effective infrastructure spurs private-sector innovation, grows the economy, creates jobs, makes public-sector service provision more efficient, strengthens communities, promotes equal opportunity, protects the natural environment, enhances national security, and fuels American leadership. To achieve these goals requires expertise from across the science and engineering disciplines. SAI focuses on how knowledge of human reasoning and decision-making, governance, and social and cultural processes enables the building and maintenance of effective infrastructure that improves lives and society and builds on advances in technology and engineering.Information technology infrastructure enables a wide variety of applications that serve almost every facet of contemporary life. Cloud services (mass storage and high-end computing power) are now commonly used as networks have become faster and more widespread. The introduction of even higher-speed wired and wireless (5G) access is pushing the boundary of cloud computing even farther. Commercial mobile network operators are now investing in multi-access edge cloud (MEC) technology, in which individuals and small enterprises support a self-organizing nexus of shared computing resources in a way that overcomes some of the limitations of long distance fiber. If the deployment of MEC platforms is left entirely to private investment by large service providers, it is likely that many people will not be served or served only by a single provider, leaving many end-users and communities without access or with access to services that are too expensive or otherwise fail to meet their quality-of-service needs. This SAI planning project develops the concept of an open collaborative public multi-access edge cloud (pMEC). The public edge cloud is designed to self-organize through voluntary contributions of under-utilized computing power within the community. A public edge cloud infrastructure makes it possible for users in under-served communities to access massive, close-in computing power without depending on the expensive services of large network operators. By broadening access to the internet and computing infrastructure of the United States, a public edge cloud capability promotes and sustains the nation’s competitive advantages in the global economy.Design of the public edge cloud infrastructure requires a multi-disciplinary effort in which technology development is informed by business models and by cost and performance properties that promote end-user adoption. This SAI planning project focuses on technology considerations for the pMEC along with viable economic and business models with end-user adoption properties necessary to enable and sustain widespread deployment. The project develops preliminary architectural level designs for distributed public edge cloud deployments, identifying necessary enhancements to the emerging technical standards for 5G and cloud. It also develops plans for incentive-compatible business and cooperative governance models for the proposed community edge cloud to motivate initial deployment and sustainable operations. A small proof-of-concept prototype demonstrates the basic pMEC concept. Collaborations are developed to evaluate stakeholder behavioral responses regarding willingness to adopt and participate in proposed pMEC deployments. Delivering on the promise of public edge cloud infrastructure depends on growing multi-disciplinary collaborative research drawing on social, behavioral, and economic sciences in partnership with computer science and engineering.This award is supported by the Directorate for Social, Behavioral, and Economic (SBE) Sciences and the Directorate for Computer and Information Science and Engineering (CISE).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
加强美国基础设施(SAI)是一项NSF计划,旨在刺激以人为本的基本和潜在的变革性研究,从而增强美国的基础设施。有效的基础设施为社会经济活力和广泛的生活质量改善奠定了坚实的基础。强大,可靠和有效的基础设施刺激了私营部门的创新,发展经济,创造就业机会,使公共部门服务提供效率更高,增强社区,促进平等的机会,保护自然环境,增强国家安全,并为美国的领导燃料。为了实现这些目标,需要从整个科学和工程学科的专业知识。 SAI专注于对人类推理和决策,治理以及社会和文化过程的了解如何使建立和维护有效的基础设施,从而改善生活和社会,并以技术和工程的进步为基础,以实现技术和工程的进步。实现了几乎每个现代生活方面的多种应用。云服务(质量存储和高端计算能力)现在通常使用,因为网络变得更快,更宽度。引入甚至更高速度的有线和无线(5G)访问正在推动云计算的边界。商业移动网络运营商现在正在投资多访问Edge Cloud(MEC)技术,其中个人和小型企业以克服长距离光纤的某些限制的方式来支持共享计算资源的下一个自组织。如果大型服务提供商的部署MEC平台完全由私人投资保留,那么许多人可能不会仅由单个提供商提供服务或提供服务,而留下许多最终用户和社区,没有访问权限或获得太昂贵或无法满足其服务质​​量需求的服务。这个SAI计划项目开发了公开协作的公共多访问边缘云(PMEC)的概念。公共边缘云旨在通过社区中利用不足的计算能力的自愿贡献进行自组织。公共边缘云基础架构使得服务不足社区的用户可以访问庞大的近距离计算能力,而不必依赖大型网络运营商的昂贵服务。通过扩大美国对互联网的访问和计算基础设施的访问,公共边缘云能力可以促进和维持全国在全球经济中的竞争优势。公共边缘云基础架构的设计需要多学科的工作,其中技术开发的技术开发是由商业模型和促进最终企业的成本和绩效促进最终企业的成本和绩效。这个SAI计划项目侧重于PMEC的技术注意事项,以及可行的经济和商业模式,并具有最终用户采用的属性,以实现和维持宽敞的部署。该项目为分布式公共边缘云部署开发了初步的体系结构级设计,从而确定了5G和云的新兴技术标准的必要增强。它还为拟议的社区边缘云制定了激励兼容的业务与合作治理模型的计划,以激发初始部署和可持续运营。概念验证原型展示了基本的PEMEC概念。开发合作是为了评估利益相关者的行为响应,内容愿意采用和参与拟议的PMEC部署。与计算机科学和工程合作,实现公共边缘云基础架构的承诺取决于不断增长的多学科协作研究,该研究涉及社会,行为和经济科学。该奖项得到了社会,行为和行为和经济(SBE)科学局的支持,以及计算机和信息科学和工程学的奖励(CISE)。利用基金会的知识分子和更广泛的影响审查标准。

项目成果

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Douglas Sicker其他文献

Douglas Sicker的其他文献

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{{ truncateString('Douglas Sicker', 18)}}的其他基金

EAGER: Self-Organization Based Control for New Generation Networks
EAGER:新一代网络的基于自组织的控制
  • 批准号:
    1032207
  • 财政年份:
    2010
  • 资助金额:
    $ 3万
  • 项目类别:
    Standard Grant
DySPAN 2006 Student Travel Support
DySPAN 2006 学生旅行支持
  • 批准号:
    0608710
  • 财政年份:
    2006
  • 资助金额:
    $ 3万
  • 项目类别:
    Standard Grant
IEEE Dynamic Spectrum Access Network (DySPAN) 2005 Student Travel Support; November 8 - 11 2005; Baltimore, MD
IEEE 动态频谱接入网络 (DySPAN) 2005 学生旅行支持;
  • 批准号:
    0541798
  • 财政年份:
    2005
  • 资助金额:
    $ 3万
  • 项目类别:
    Standard Grant

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