SPX: Toward Network Level Parallel Computing: Security, Efficiency and Scalability

SPX：迈向网络级并行计算：安全性、效率和可扩展性

• 批准号: 1919154
• 负责人: Jian Ren
• 金额: $ 106.27万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1919154&HistoricalAwards=false
• 关键词: SPX; Toward; Network; Level; Parallel

The requirement on timely processing and analysis of huge volumes of data generated by various applications in our daily lives has driven an steady but urgent need to speed up the computing power. However, due to the physical limits in transistor scaling and the cross-core interference in multicore systems, the computer processor design for large-scale parallel computing is facing its limits. A new network-level parallel computing architecture and innovative performance optimization algorithms developed in this project can free the speedup of computing power and completely break the barriers in computing processor hardware design. The new technologies resulted from this project can be widely used in many parallel computing related applications for timely analysis of big data and secure data storage. Moreover, by integrating the technological advances resulting from this project into the undergraduate/graduate curricula and outreach activities, this project has significant impacts on the training of a highly-skilled and diverse workforce for high-performance computing.The goal of this project is to achieve a theoretically-optimal speedup of computing power by leveraging the computing capability of the edge and cloud computing resources in the computing network, so as to enable efficient, scalable and secure parallel computing at the network level. More specifically, (i) this project develops new network-level parallel computing architectures and innovative performance optimization algorithms that can achieve a linear speedup of computing power by leveraging the computing capability of the edge nodes and cloud computing servers in the network; (ii) this project breaks new ground in developing secure parallel cloud computing and data storage schemes. The new techniques make it possible to implement efficient network-level parallel computing schemes without compromising the security requirements, and hence pave the path for the wide adoption of network-level parallel computing in future big-data applications.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.

在我们日常生活中，对各种应用程序产生的大量数据的及时处理和分析的需求已经推动了对加速计算能力的稳定但迫切的需求。然而，由于晶体管缩放的物理限制和多核系统中的跨核干扰，用于大规模并行计算的计算机处理器设计正面临其限制。该项目开发的一种新的网络级并行计算架构和创新的性能优化算法，可以释放计算能力的加速比，彻底打破计算处理器硬件设计的障碍。 该项目产生的新技术可广泛应用于许多并行计算相关应用，以实现大数据的及时分析和安全数据存储。此外，通过将本项目的技术进步融入本科/研究生课程和推广活动，本项目对培养高技能和多样化的高性能计算人才具有重要影响。本项目的目标是通过利用计算网络中的边缘计算能力和云计算资源，实现理论上最佳的计算能力加速，以便在网络级实现高效、可扩展和安全的并行计算。更具体地说，（i）该项目开发新的网络级并行计算架构和创新的性能优化算法，可以通过利用网络中边缘节点和云计算服务器的计算能力来实现计算能力的线性加速;（ii）该项目在开发安全并行云计算和数据存储方案方面开辟了新的天地。新技术可以实现高效的网络级并行计算方案，同时不影响安全要求，从而为网络级并行计算在未来大数据应用中的广泛采用铺平了道路。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。

项目成果

CASO: Cost-Aware Secure Outsourcing of General Computational Problems

• DOI: 10.1109/tsc.2018.2814991
• 发表时间: 2015-11
• 期刊: IEEE Transactions on Services Computing
• 影响因子: 8.1
• 作者: Kai Zhou;Jian Ren

Secure and Efficient OFDM System Design under Disguised Jamming

• DOI: 10.1109/icnc47757.2020.9049721
• 发表时间: 2020-02
• 期刊: 2020 International Conference on Computing, Networking and Communications (ICNC)
• 作者: Yuan Liang;Jian Ren;Tongtong Li

RealPRNet: A Real-Time Phoneme-Recognized Network for “Believable” Speech Animation

RealPRNet：用于“可信”语音动画的实时音素识别网络

• DOI: 10.1109/jiot.2021.3110468
• 发表时间: 2022
• 期刊: IEEE Internet of Things Journal
• 影响因子: 10.6
• 作者: Yu, Zixiao;Wang, Haohong;Ren, Jian
• 通讯作者: Ren, Jian

d -BAME: Distributed Blockchain-Based Anonymous Mobile Electronic Voting

d -BAME：基于区块链的分布式匿名移动电子投票

• DOI: 10.1109/jiot.2021.3074877
• 发表时间: 2021
• 期刊: IEEE Internet of Things Journal
• 影响因子: 10.6
• 作者: Zaghloul, Ehab;Li, Tongtong;Ren, Jian
• 通讯作者: Ren, Jian

Beyond the MDS Bound in Distributed Cloud Storage

• DOI: 10.1109/tit.2020.2993038
• 发表时间: 2020-05
• 期刊: IEEE Transactions on Information Theory
• 影响因子: 2.5
• 作者: Jian Li;Tongtong Li;Jian Ren