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SGER: Validation and Evaluation of A New Data Replication Technology

SGER: Validation and Evaluation of A New Data Replication Technology
SGER:新数据复制技术的验证和评估
批准号:
0610538
负责人:
Qing Yang
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-03-01 至 2007-08-31

项目摘要

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中文摘要
翻译
项目概述PI建议验证和评估一种新技术,该技术将数据从主存储镜像到跨LAN/WAN网络的镜像存储,以实现数据保护的目的。新技术的思想是只镜像写操作产生的奇偶校验,而不是镜像数据本身。通过利用RAID存储系统中存在的奇偶校验计算,每当执行磁盘写操作时,我们只将新的奇偶校验镜像到远程站点。智能镜像-仅奇偶校验(MOP)导致大量数据减少,使得在有限带宽的网络上进行实时数据镜像成为可能,而不会对应用程序性能产生负面影响。数据可以使用接收到的奇偶校验和以前在镜像存储中存在的数据计算回来。新方法在关键数据路径之外以高成本和慢通信换取廉价和快速的计算。初步分析表明,一个数量级的数据减少是可能的,而没有明显的开销,通常需要由现有的技术,如压缩算法和TCP/IP优化。更广泛的影响预计拟议研究的影响将是巨大而广泛的。金融、医疗、信息技术、制造业、政府、研究/教育等行业都依赖于数字数据,需要保护这些数据免受任何意外灾难的影响。如果经过验证,我们的新技术使任何组织都可以以低成本部署实时远程数据镜像,这是不可能的,因为传统技术的高成本和难以忍受的延迟。由于拟进行的实验活动主要由研究生和本科生进行,因此拟进行的研究将会对教育产生影响。
英文摘要
Project SummaryThe PI proposes to validate and evaluate a new technology for mirroring data from a primary storage to mirror storage across a LAN/WAN network for the purpose of data protection. The idea of the new technology is to mirror only the parity resulting from a write operation instead of the data itself. Byleveraging the parity computation that exists in RAID storage systems, we mirror onlythe new parity to the remote site whenever a disk write operation is performed.Intellectual MeritMirroring-only-parity (MOP) results in substantial data reduction making it possible todo real-time data mirroring over limited bandwidth network without negatively impactingapplication performance. Data can be computed back using the received parity andpreviously existing data at mirror storage. The new method trades off inexpensive andfast computations outside of the critical data path for high cost and slow communication.Preliminary analyses show that an order of magnitude data reduction is possiblewithout noticeable overheads that are generally required by existing technologies such ascompression algorithms and TCP/IP optimizations.Broader ImpactThe impact of the proposed research is expected to be dramatic and broad. Industries such asfinancial, health care, information technology, manufacturing, governmental, research/educationall rely on digital data that needs to be protected from any unexpected disasters.If validated, our new technology makes it possible for any organization to inexpensively deploy remote data mirroring in real time, which has not been possible because of the prohibitively high cost and intolerable delays of traditional technologies. The proposed research will have educational impact because the proposed experimental activities will be mainly carried out by graduate and undergraduate students.
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会议论文
SHF: Medium: PARIS: A New In-Sensor Computing Architecture for Intelligent 3-D Imaging Systems
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  • 资助金额:
    $120.0万
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  • 资助金额:
    $60.0万
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    2020
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EAGER: SaTC: Privacy-Preserving Convolutional Neural Network for Cooperative Perception in Vehicular Edge Systems
  • 批准号:
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  • 项目类别:
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  • 资助金额:
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NeTS: EAGER: Intelligent Information Dissemination in Vehicular Networks based on Social Computing
  • 批准号:
    1761641
  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 负责人:
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  • 依托单位:
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