CAREER: Reliability in Large-Scale Storage
职业:大规模存储的可靠性
基本信息
- 批准号:1453121
- 负责人:
- 金额:$ 54万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-02-01 至 2016-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
With the advent of large scale distributed storage systems, cloud computing and commercial data storage applications, there is a renewed interest in the coding and information theory in reliabile issues data storage. In large networked databases, faster updates and quick repair requirements must be integrated with reliable data storage protocols. These requirements bring new dimensions and parameters to the traditional optimization problem of information theory.In this project we propose, for the first time, a model of large-scale storage that accounts for the topology of storage networks. Previously, storage topology was never a concern of the code designers. Further, we study the update efficiency and local repair (fast recovery) properties of error-correcting codes suitable for storage. For all of these, we will analyze the fundamental limits of systems, as well as propose explicit (fast algorithmic) constructions of codes. Several tools from graph and network theory, combinatorics and optimization theory will be leveraged to find performance limits and devise coding algorithms.By cutting redundancy and allowing faster processing, the codes developed from this project will directly save energy consumption in data centers. Existing and new collaborations of the principal investigator will facilitate industry cooperation and increase the transition to practice of results generated from this project. Elements of this endeavor will be integrated with the courses taught by the principal investigator. The findings will be disseminated through publications in peer-reviewed venues and made available in the form of technical reports for public access on the investigator's webpage. Finally, motivated by practical applications and extending across various disciplines, this project is representative of an intriguing area of engineering science, and will attract a diverse student base including undergraduate students.
随着大规模分布式存储系统、云计算和商业数据存储应用的出现,人们对数据存储可靠性问题中的编码和信息理论重新产生了兴趣。在大型网络数据库中,更快的更新和快速修复需求必须与可靠的数据存储协议相结合。这些要求给传统的信息论优化问题带来了新的维度和参数。在这个项目中,我们首次提出了一个考虑存储网络拓扑结构的大规模存储模型。以前,存储拓扑从来不是代码设计人员关心的问题。进一步研究了适合存储的纠错码的更新效率和局部修复(快速恢复)特性。对于所有这些,我们将分析系统的基本限制,以及提出显式(快速算法)的代码结构。一些工具从图和网络理论,组合学和优化理论将被用来寻找性能限制和设计编码算法。通过减少冗余和允许更快的处理,该项目开发的代码将直接节省数据中心的能源消耗。首席研究员现有的和新的合作将促进行业合作,并增加该项目产生的成果向实践的过渡。这一努力的要素将与首席研究员所教授的课程相结合。调查结果将通过同行评议场所的出版物传播,并以技术报告的形式在调查者的网页上供公众查阅。最后,受实际应用和跨学科扩展的激励,该项目是工程科学一个有趣领域的代表,将吸引包括本科生在内的各种学生群体。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Arya Mazumdar其他文献
Improved Support Recovery in Universal 1-bit Compressed Sensing
改进了通用 1 位压缩感知中的支持恢复
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:2.5
- 作者:
Namiko Matsumoto;Arya Mazumdar;S. Pal - 通讯作者:
S. Pal
The TILOS AI Institute: Integrating optimization and AI for chip design, networks, and robotics
TILOS AI 研究所:将优化和 AI 集成到芯片设计、网络和机器人领域
- DOI:
10.1002/aaai.12165 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Andrew B. Kahng;Arya Mazumdar;Jodi Reeves;Yusu Wang - 通讯作者:
Yusu Wang
Improved Support Recovery in Universal One-bit Compressed Sensing
改进了通用一位压缩感知中的支撑恢复
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Namiko Matsumoto;Arya Mazumdar;S. Pal - 通讯作者:
S. Pal
Competing Bandits in Non-Stationary Matching Markets
非平稳匹配市场中的竞争强盗
- DOI:
10.1109/tit.2024.3352228 - 发表时间:
2024 - 期刊:
- 影响因子:2.5
- 作者:
A. Ghosh;Abishek Sankararaman;K. Ramchandran;Tara Javidi;Arya Mazumdar - 通讯作者:
Arya Mazumdar
Novel Impossibility Results for Group-Testing
小组测试的新不可能结果
- DOI:
10.1109/isit.2018.8437471 - 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Abhishek Agarwal;S. Jaggi;Arya Mazumdar - 通讯作者:
Arya Mazumdar
Arya Mazumdar的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Arya Mazumdar', 18)}}的其他基金
CIF: Small: New Directions in Clustering: Interactive Algorithms and Statistical Models
CIF:小型:聚类的新方向:交互式算法和统计模型
- 批准号:
2133484 - 财政年份:2021
- 资助金额:
$ 54万 - 项目类别:
Standard Grant
CAREER: Reliability in Large-Scale Storage
职业:大规模存储的可靠性
- 批准号:
2127929 - 财政年份:2021
- 资助金额:
$ 54万 - 项目类别:
Continuing Grant
CIF: Small: New Directions in Clustering: Interactive Algorithms and Statistical Models
CIF:小型:聚类的新方向:交互式算法和统计模型
- 批准号:
1909046 - 财政年份:2019
- 资助金额:
$ 54万 - 项目类别:
Standard Grant
CAREER: Reliability in Large-Scale Storage
职业:大规模存储的可靠性
- 批准号:
1642658 - 财政年份:2016
- 资助金额:
$ 54万 - 项目类别:
Continuing Grant
CIF: Small: Collaborative Research: Ordinal Data Compression
CIF:小型:协作研究:有序数据压缩
- 批准号:
1642550 - 财政年份:2016
- 资助金额:
$ 54万 - 项目类别:
Standard Grant
CCF-BSF: CIF: Small: Collaborative Research: Coding and Information - Theoretic Aspects of Local Data Recovery
CCF-BSF:CIF:小型:协作研究:编码和信息 - 本地数据恢复的理论方面
- 批准号:
1618512 - 财政年份:2016
- 资助金额:
$ 54万 - 项目类别:
Standard Grant
CIF: Small: Collaborative Research: Ordinal Data Compression
CIF:小型:协作研究:有序数据压缩
- 批准号:
1526763 - 财政年份:2015
- 资助金额:
$ 54万 - 项目类别:
Standard Grant
CIF: Small: Collaborative Research: Combinatorial Joint Source-Channel Coding
CIF:小型:协作研究:组合联合源通道编码
- 批准号:
1318093 - 财政年份:2013
- 资助金额:
$ 54万 - 项目类别:
Standard Grant
相似海外基金
Integrated reliability design method for large-scale systems under dependent failure environment
相关故障环境下大型系统综合可靠性设计方法
- 批准号:
21K14373 - 财政年份:2021
- 资助金额:
$ 54万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
CAREER: Reliability in Large-Scale Storage
职业:大规模存储的可靠性
- 批准号:
2127929 - 财政年份:2021
- 资助金额:
$ 54万 - 项目类别:
Continuing Grant
CNS: Core: Medium: Understanding and addressing device-reliability heterogeneity in large-scale distributed storage
CNS:核心:中:理解和解决大规模分布式存储中的设备可靠性异构性
- 批准号:
1956271 - 财政年份:2020
- 资助金额:
$ 54万 - 项目类别:
Continuing Grant
A statistical mechanics approach to reliability assessment in large scale statistical inference
大规模统计推断中可靠性评估的统计力学方法
- 批准号:
19J10711 - 财政年份:2019
- 资助金额:
$ 54万 - 项目类别:
Grant-in-Aid for JSPS Fellows
A study on reliability design methods for large-scale systems with dependent failures
大型相关故障系统可靠性设计方法研究
- 批准号:
19K23540 - 财政年份:2019
- 资助金额:
$ 54万 - 项目类别:
Grant-in-Aid for Research Activity Start-up
Information Triage for Social Media Reliability in Large Disasters
大型灾难中社交媒体可靠性的信息分类
- 批准号:
18KT0100 - 财政年份:2018
- 资助金额:
$ 54万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Reliability-based design of large underground excavations in frozen rock
冻岩大型地下开挖的基于可靠性的设计
- 批准号:
486206-2015 - 财政年份:2018
- 资助金额:
$ 54万 - 项目类别:
Industrial Postgraduate Scholarships
Reliability-based design of large underground excavations in frozen rock
冻岩大型地下开挖的基于可靠性的设计
- 批准号:
486206-2015 - 财政年份:2017
- 资助金额:
$ 54万 - 项目类别:
Industrial Postgraduate Scholarships
Vulnerability/reliability evaluation of arterial road network with time-space integration of large-scale and heterogeneous data
大规模异构数据时空融合的干线路网脆弱性/可靠性评估
- 批准号:
17H03321 - 财政年份:2017
- 资助金额:
$ 54万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
CAREER: Fundamental Electronic Device Performance and Reliability Investigation on Chalcogenide- and Oxide-based N- and P-type Materials for Large Area/Flexible Electronics
职业:用于大面积/柔性电子产品的硫族化物和氧化物基 N 型和 P 型材料的基础电子器件性能和可靠性研究
- 批准号:
1653343 - 财政年份:2017
- 资助金额:
$ 54万 - 项目类别:
Standard Grant