CyberTraining CIP: Cyberinfrastructure Expertise on High-throughput Networks for Big Science Data Transfers
CyberTraining CIP:用于大科学数据传输的高吞吐量网络的网络基础设施专业知识
基本信息
- 批准号:1829698
- 负责人:
- 金额:$ 50万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-10-01 至 2022-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project establishes the Cyberinfrastructure Network of Expertise (CNE) for teaching, training, and research on networking technologies including Science Demilitarized Zone (Science DMZ). The Science DMZ is a network specifically designed to facilitate the transfer and sharing of very large scientific data (big data) across geographically separated sites. The project serves the national interest, as it addresses the shortage of skilled research personnel with specialized skills to support networks carrying big science data among research institutions, universities, and national laboratories. This initiative also fosters skills toward the development of a national "cyber-highway" system to better facilitate the sharing of big science data, hence promoting collaboration and national competitiveness in science and engineering, aligned with NSF's mission. CNE is composed of universities, industry organizations, national and state agencies in multiple states, and a national laboratory. This broad initiative ensures a strong adoption of best cyberinfrastructure (CI) practices in sharing terabytes of data and more, thereby enabling new modes of discovery and collaboration. Additionally, the project develops advanced instructional material for Science DMZ, which is being integrated into undergraduate courses in information technology, computer science, and engineering in multiple universities. CNE is anchored at the University of South Carolina (USC) and has several thrusts. First, the instructional material is enriched with a large number of virtual laboratories (vLabs), designed in partnership with domain experts and the Network Development Group (NDG), a company in virtualized training. The material covers key aspects of the Science DMZ, including wide area networks, routers and switches, TCP attributes for big data transfers, and cybersecurity for friction-free environments. Second, the CNE partnership also includes Florida Atlantic University (FAU) and University of South Florida (USF), which are incorporating the vLabs and companion material into their degree programs. These enriched programs provide skills to fulfill pressing demands in both South Carolina and Florida. Third, in conjunction with local industry and Savannah River National Laboratory, CNE incorporates internships and industry-sponsored capstone projects in student training to strengthen the cooperation between academia and industry and to bolster national security related to big data transfers. Fourth, CNE organizes workshops to provide critical training and education on Science DMZs in partnership with Internet2 and state agencies, namely South Carolina Cyber (SC Cyber) and the Florida Center for Cybersecurity (FC2). Finally, by leveraging the extensive dissemination channels of all project partners, CNE plans to make vLabs and manuals available to the wider CI community for online self-paced self-training delivery.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.
该项目建立了用于网络技术的教学,培训和研究的网络基础结构网络,包括科学非军事区(科学DMZ)。科学DMZ是一个专门设计的网络,旨在促进在地理分离的站点之间传输和共享非常大的科学数据(大数据)。该项目为国家利益服务,因为它解决了具有专门技能的熟练研究人员的短缺,以支持在研究机构,大学和国家实验室中携带大型科学数据的网络。该计划还促进了发展国家“网络高速公路”系统的技能,以更好地促进大型科学数据的共享,从而促进与NSF的使命一致的科学与工程方面的合作和国家竞争力。 CNE由多个州的大学,行业组织,国家和州机构以及国家实验室组成。这项广泛的计划确保了最佳网络基础架构(CI)实践的强烈采用,以共享数据等等,从而实现了新的发现和协作方式。此外,该项目还为科学DMZ开发了先进的教学材料,该材料正在众多大学中的信息技术,计算机科学和工程学的本科课程中。 CNE锚定在南卡罗来纳大学(USC),有几个推力。首先,教学材料具有大量虚拟实验室(VLABS),该虚拟实验室(VLABS)与域专家和网络开发小组(NDG)合作设计,这是一家从事虚拟培训的公司。该材料涵盖了科学DMZ的关键方面,包括广泛的区域网络,路由器和开关,大数据传输的TCP属性以及无摩擦环境的网络安全性。其次,CNE合作伙伴关系还包括佛罗里达大西洋大学(FAU)和南佛罗里达大学(USF),它们将VLAB和伴侣材料纳入其学位课程。这些丰富的计划提供了满足南卡罗来纳州和佛罗里达州紧迫需求的技能。第三,与当地工业和萨凡纳河国家实验室结合,CNE将实习和由行业赞助的顶峰项目纳入了学生培训中,以加强学术界与工业之间的合作,并加强与大数据传输相关的国家安全。第四,CNE组织研讨会,与Internet2和州机构合作,即南卡罗来纳州网络(SC网络)和佛罗里达网络安全中心(FC2),提供有关科学DMZ的批判性培训和教育。最后,通过利用所有项目合作伙伴的广泛传播渠道,CNE计划使更广泛的CI社区可提供VLAB和手册进行在线自我步伐自我训练交付。这项奖项反映了NSF的法定任务,并认为通过基金会的知识智能和更广泛的影响,通过评估值得支持的支持,以审查Criteria。
项目成果
期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
An Exhaustive Survey on P4 Programmable Data Plane Switches: Taxonomy, Applications, Challenges, and Future Trends
- DOI:10.1109/access.2021.3086704
- 发表时间:2021-01-01
- 期刊:
- 影响因子:3.9
- 作者:Kfoury, Elie F.;Crichigno, Jorge;Bou-Harb, Elias
- 通讯作者:Bou-Harb, Elias
Enabling TCP Pacing using Programmable Data Plane Switches
使用可编程数据平面交换机启用 TCP 调步
- DOI:10.1109/tsp.2019.8768888
- 发表时间:2019
- 期刊:
- 影响因子:0
- 作者:Kfoury, Elie F.;Crichigno, Jorge;Bou-Harb, Elias;Khoury, David;Srivastava, Gautam
- 通讯作者:Srivastava, Gautam
Offloading Media Traffic to Programmable Data Plane Switches
- DOI:10.1109/icc40277.2020.9149159
- 发表时间:2020-06
- 期刊:
- 影响因子:0
- 作者:Elie F. Kfoury;J. Crichigno;E. Bou-Harb
- 通讯作者:Elie F. Kfoury;J. Crichigno;E. Bou-Harb
An emulation-based evaluation of TCP BBRv2 Alpha for wired broadband
- DOI:10.1016/j.comcom.2020.07.018
- 发表时间:2020-09-01
- 期刊:
- 影响因子:6
- 作者:Kfoury, Elie F.;Gomez, Jose;Bou-Harb, Elias
- 通讯作者:Bou-Harb, Elias
A Comprehensive Tutorial on Science DMZ
科学DMZ综合教程
- DOI:10.1109/comst.2018.2876086
- 发表时间:2019
- 期刊:
- 影响因子:35.6
- 作者:Crichigno, Jorge;Bou-Harb, Elias;Ghani, Nasir
- 通讯作者:Ghani, Nasir
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Jorge Crichigno其他文献
Throughput Optimization in Multihop Wireless Networks with Multipacket Reception and Directional Antennas
具有多包接收和定向天线的多跳无线网络的吞吐量优化
- DOI:
10.1109/tpds.2010.202 - 发表时间:
2011-07 - 期刊:
- 影响因子:0
- 作者:
Jorge Crichigno;Min-You Wu;Sudharman Jayaweera;Wei Shu - 通讯作者:
Wei Shu
On DGA Detection and Classification Using P4 Programmable Switches
- DOI:
10.1016/j.cose.2024.104007 - 发表时间:
2024-10-01 - 期刊:
- 影响因子:
- 作者:
Ali AlSabeh;Kurt Friday;Elie Kfoury;Jorge Crichigno;Elias Bou-Harb - 通讯作者:
Elias Bou-Harb
Jorge Crichigno的其他文献
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{{ truncateString('Jorge Crichigno', 18)}}的其他基金
OAC Core: Enhancing Network Security by Implementing an ML Malware Detection and Classification Scheme in P4 Programmable Data Planes and SmartNICs
OAC 核心:通过在 P4 可编程数据平面和智能网卡中实施 ML 恶意软件检测和分类方案来增强网络安全
- 批准号:
2403360 - 财政年份:2024
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
CC* Integration-Small: Enhancing Data Transfers by Enabling Programmability and Closed-loop Control in a Non-programmable Science DMZ
CC* Integration-Small:通过在不可编程科学 DMZ 中启用可编程性和闭环控制来增强数据传输
- 批准号:
2346726 - 财政年份:2024
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
CyberTraining: Implementation: Small: Cybertraining on P4 Programmable Devices using an Online Scalable Platform with Physical and Virtual Switches and Real Protocol Stacks
网络培训:实施:小型:使用具有物理和虚拟交换机以及真实协议栈的在线可扩展平台在 P4 可编程设备上进行网络培训
- 批准号:
2118311 - 财政年份:2021
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
Collaborative: Multi-state Community College, University and Industry Collaboration to Prepare Learners for 21st Century Information Technology Jobs
协作:多州社区学院、大学和行业协作,帮助学习者为 21 世纪信息技术工作做好准备
- 批准号:
1902397 - 财政年份:2019
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
CC* Networking Infrastructure: Building a Science DMZ for Data-intensive Research and Computation at the University of South Carolina
CC* 网络基础设施:在南卡罗来纳大学构建用于数据密集型研究和计算的科学 DMZ
- 批准号:
1925484 - 财政年份:2019
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
Collaborative Research: Capacity Building: Building a Cybersecurity Pipeline through Experiential Virtual Labs and Workforce Alliances
合作研究:能力建设:通过体验式虚拟实验室和劳动力联盟构建网络安全管道
- 批准号:
1822567 - 财政年份:2018
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
Collaborative Research: Capacity Building: Building a Cybersecurity Pipeline through Experiential Virtual Labs and Workforce Alliances
合作研究:能力建设:通过体验式虚拟实验室和劳动力联盟构建网络安全管道
- 批准号:
1723323 - 财政年份:2017
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
CC*DNI Campus Design: Northern's Network Expansion for Large Science and Engineering Data Flows
CC*DNI 校园设计:北方针对大型科学和工程数据流的网络扩展
- 批准号:
1541352 - 财政年份:2015
- 资助金额:
$ 50万 - 项目类别:
Standard Grant
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