CNS Core: Small: Bridging the Silos of Edge Computing with Connected Namespaces

CNS 核心：小型：通过互联命名空间弥合边缘计算孤岛

• 批准号: 1909769
• 负责人: Ada Gavrilovska
• 金额: $ 50万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2023-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1909769&HistoricalAwards=false
• 关键词: CNS; Core; Small; Bridging; Silos

Edge computing provides opportunities to process data closer to its sources, on computing elements embedded in the data network path. It can be transformative for many important classes of latency-sensitive and data-intensive applications, such as Smart City, autonomous systems and transportation, augmented and virtual reality (AR/VR), visual analytics, etc. However, realizing the potential benefit of edge computing is not trivial, because it relies on the ability to make timely decisions across diverse resources and services, disaggregated across many siloed providers, and governed by dynamically changing operating conditions. For applications seeking benefits from edge computing, this presents challenges in obtaining the right set of available resources. For stakeholders contributing resources to edge computing, this presents challenges in maintaining desired degree of control over their resources. To address this problem, this project develops a new Decentralized Edge Exchange that builds on a new system-level abstraction, called connected namespaces, to enable dynamic, fine-grained, and cross-stakeholder resource orchestrations in edge computing. Importantly, the exchange natively integrates use of tailored cryptographic techniques, namely, multi-party computation (MPC), to achieve full privacy while meeting all the real-time performance requirements of the complete system. The technologies developed in this project permit edge computing applications to utilize the best available edge resources, even when those are fragmented across and owned by multiple parties, while still providing each stakeholder with controls regarding their resource use and sharing policies. The ability to deliver on performance without sacrificing confidentiality and controls removes critical concerns about edge computing, which otherwise hamper its adoption. As a result, this research presents a path for future developments in the new edge infrastructure tier, support for important classes of emerging applications, new execution platforms comprising novel hardware and software technologies for the edge, and catalyzes the adoption of edge computing as a new source of revenue streams and economic growth.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.

边缘计算提供了在数据网络路径中嵌入的计算元素上处理更接近其来源的数据的机会。它可以变革许多重要类别的延迟敏感和数据密集型应用，例如智能城市，自治系统和交通，增强和虚拟现实（AR/VR），视觉分析等。然而，实现边缘计算的潜在好处并不简单，因为它依赖于在不同的资源和服务中及时做出决策的能力，这些资源和服务分散在许多孤立的提供商中，并由动态变化的操作条件进行管理。对于从边缘计算中寻求利益的应用程序来说，这在获得正确的可用资源集方面提出了挑战。对于为边缘计算贡献资源的利益相关者来说，这在保持对其资源的所需控制程度方面提出了挑战。为了解决这个问题，该项目开发了一个新的分散式边缘交换，该交换建立在一个新的系统级抽象之上，称为连接的命名空间，以实现边缘计算中的动态，细粒度和跨利益相关者的资源编排。重要的是，该交易所本身集成了定制的加密技术，即多方计算（MPC），以实现完全的隐私，同时满足整个系统的所有实时性能要求。 该项目开发的技术允许边缘计算应用程序利用最佳可用边缘资源，即使这些资源分散在多方并由多方拥有，同时仍为每个利益相关者提供有关其资源使用和共享策略的控制。在不牺牲机密性和控制的情况下提供性能的能力消除了对边缘计算的关键担忧，否则会阻碍其采用。因此，这项研究为新的边缘基础设施层的未来发展提供了一条道路，支持重要类别的新兴应用程序，包括边缘的新硬件和软件技术的新执行平台，该奖项反映了NSF的法定使命，并通过使用基金会的学术价值和更广泛的影响审查标准。

项目成果

Fast ORAM with Server-Aided Preprocessing and Pragmatic Privacy-Efficiency Trade-Off

具有服务器辅助预处理和务实的隐私效率权衡的快速 ORAM

• 发表时间: 2023
• 期刊: and Machine Learning CSCML 2023
• 作者: Vladimir Kolesnikov, Stanislav Peceny

A 2.1 KHz Zero-Knowledge Processor with BubbleRAM

具有 BubbleRAM 的 2.1 KHz 零知识处理器

• DOI: 10.1145/3372297.3417283
• 发表时间: 2020
• 期刊: A 2.1 KHz Zero-Knowledge Processor with BubbleRAM
• 作者: Heath, David;Kolesnikov, Vladimir
• 通讯作者: Kolesnikov, Vladimir

LogStack: Stacked Garbling with O(b log b) Computation

• DOI: 10.1007/978-3-030-77883-5_1
• 发表时间: 2021
• 作者: David Heath;V. Kolesnikov

GeoENS: Blockchain-based Infrastructure for Service Discovery at the Edge

GeoENS：基于区块链的边缘服务发现基础设施

• 发表时间: 2020
• 期刊: HotEdge'20 3rd USENIX Workshop on Hot Topics in Edge Computing
• 作者: Choncholas, James;Bhardwaj, Ketan;Gavrilovska, Ada
• 通讯作者: Gavrilovska, Ada

DNS Does Not Suffice for MEC-CDN

DNS 不足以满足 MEC-CDN

• DOI: 10.1145/3422604.3425931
• 发表时间: 2020
• 期刊: HotNets '20: Proceedings of the 19th ACM Workshop on Hot Topics in Networks
• 作者: Hsu, Ke-Jou;Choncholas, James;Bhardwaj, Ketan;Gavrilovska, Ada
• 通讯作者: Gavrilovska, Ada