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CC* Integration-Small: Error Free File Transfer for Big Science

CC* Integration-Small: Error Free File Transfer for Big Science
CC* Integration-Small:大科学的无差错文件传输
批准号:
2019163
负责人:
Craig Partridge
金额:
$47.04万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-07-01 至 2025-03-31

项目摘要

项目成果

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中文摘要
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英文摘要
Scientific data transfers have gotten so large that previously rare transmission errors in the Internet are causing some scientific data transfers to be corrupted. The Internet's error checking mechanisms were designed at a time when a megabyte was a large file. Now files can contain terabytes. The old error checking mechanisms are in danger of being overwhelmed. This project seeks to find new error checking mechanisms for the Internet to safely move tomorrow's scientific data efficiently and without errors.This project addresses two fundamental issues. First, the Internet's checksums and message digests are too small (32-bits) and probably are poorly tuned to today's error patterns. It is a little-known fact that checksums can (and typically should) be designed to reliably catch specific errors. A good checksum is designed to protect against errors that it will actually encounter. So the first step in this project is to collect information about the kinds of transmission errors currently happening in the Internet for a comprehensive study. Second, today's file transfer protocols, if they find a file has been corrupted in transit, simply discard the file and transfer it again. In a world in which the file is huge (tens of terabytes or even petabytes long), that's a tremendous waste. Rather, the file transfer protocol should seek to repair the corrupted parts of the file. As the project collects data about errors, it will also design a new file transfer protocol that can incrementally verify and repair files.This project will improve the Internet's ability to support big data transfers, both for science and commerce, for decades to come. Users will be able to transfer big files with confidence that the data will be accurately and efficiently copied over the network. This work will further NSF's Blueprint for a National Cyberinfrastructure Ecosystem by ensuring a world in which networks work efficiently to deliver trustworthy copies of big data to anyone who needs it. Additional information on the project is available at: www.hipft.netThis 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.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
Vehicle-to-Vehicle Charging Coordination over Information Centric Networking
通过信息中心网络进行车辆间充电协调
DOI: 10.1109/lcn53696.2022.9843207
发表时间: 2022
期刊: IEEE LCN
影响因子: --
作者: [Thompson, Robert, Ismail, Muhammad, Shannigrahi, Susmit]
通讯作者: Shannigrahi, Susmit
Big Data, Transmission Errors, and the Internet
大数据、传输错误和互联网
DOI: --
发表时间: 2023
期刊: IEEE/IFIP International Conference on Dependable Systems and Networks
影响因子: --
作者: [Craig Partridge, Susmit Shannigrahi]
通讯作者: Susmit Shannigrahi
DOI: 10.1109/itsc55140.2022.9922194
发表时间: 2022-06
期刊: 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
影响因子: --
作者: [Zachariah Threet;C. Papadopoulos;W. Lambert;P. Podder;Spiros Thanasoulas;Alexander Afanasyev;Sheikh K. Ghafoor;Susmit Shannigrahi]
通讯作者: Zachariah Threet;C. Papadopoulos;W. Lambert;P. Podder;Spiros Thanasoulas;Alexander Afanasyev;Sheikh K. Ghafoor;Susmit Shannigrahi
Support for the Second Engineering Conference
  • 批准号:
    0813589
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2008
  • 负责人:
    Craig Partridge
  • 依托单位:
Collaborative Research: The Future of Optical Communications: Understanding the Choices
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