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

• 批准号: 2228471
• 负责人: William Lehr
• 金额: $ 6万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-15 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2228471&HistoricalAwards=false
• 关键词: Collaborative; Research; SAI; Public; Multi

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，旨在促进以人为本的基础性和潜在变革性研究，加强美国的基础设施，为社会经济活力和广泛的生活质量改善提供坚实的基础。私营部门创新、发展经济、创造就业机会、提供更多公共部门服务、加强社区、促进平等机会、保护自然环境、增强国家安全并增强美国的领导力。要实现这些目标，需要来自各个领域的专业知识。 SAI 专注于人类推理和决策、治理以及社会和文化过程的知识如何能够建设和维护有效的基础设施，从而改善生活和社会，并建立在技术和工程的进步之上。随着网络变得更快、更广泛，随着更高速的有线和网络的引入，云服务（海量存储和高端计算能力）已成为普遍使用的基础设施。无线（5G）接入正在推动商业移动网络运营商现在正在投资多接入边缘云（MEC）技术，个人和小型企业以克服一些限制的方式支持共享计算资源的自组织连接。如果 MEC 平台的部署完全由大型服务提供商进行私人投资，则许多人可能无法获得服务或仅由单一提供商提供服务，从而导致许多最终用户和社区无法访问或无法访问。无法获得过于昂贵或以其他方式失败的服务以满足他们的服务质量需求。该 SAI 规划项目提出了开放协作公共多路访问边缘云 (pMEC) 的概念。公共边缘云旨在通过自愿贡献未充分利用的计算能力来进行自组织。通过扩大对互联网和计算基础设施的访问，公共边缘云基础设施使服务不足的社区的用户能够获得大量的、近距离的计算能力，而无需依赖大型网络运营商的昂贵服务。美国公共边缘云能力提升并维持国家在全球经济中的竞争优势。公共边缘云基础设施的设计需要多学科的努力，其中技术开发以促进最终用户采用的成本和性能特性为基础。重点关注 pMEC 的技术考虑因素以及可行的经济和商业模型，以及实现和维持广泛部署所需的最终用户采用属性。该项目为分布式公共边缘云部署开发初步架构级设计，确定新兴技术标准的必要增强。适用于 5G 和云。还为拟议的社区边缘云制定了激励兼容的业务和合作治理模型的计划，以激励初始部署和可持续运营。一个小型概念验证原型演示了基本的 pMEC 协作，以评估利益相关者对意愿的行为反应。采用和参与拟议的 pMEC 部署 兑现公共边缘云基础设施的承诺取决于与计算机科学和工程合作不断发展的多学科协作研究，涉及社会、行为和经济科学。该奖项由理事会支持。对于社交，行为与经济 (SBE) 科学以及计算机和信息科学与工程理事会 (CISE)。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。