Sustainable data storage solutions: embracing the cloud and big data
可持续数据存储解决方案:拥抱云和大数据
基本信息
- 批准号:RGPIN-2015-05670
- 负责人:
- 金额:$ 1.82万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2016
- 资助国家:加拿大
- 起止时间:2016-01-01 至 2017-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Data storage (DS) is one of the basic foundations on which digital information systems thrive. With the ever-increasing popularity of cloud-based systems and high-capacity mobile units, there is critical need for sustainable storage solutions. Current DS systems will not be able to handle the rate at which data is being created. Every day, we create in the order of 2.5 quintillion (1 followed by 18 zeros) bytes of data. Astonishingly, almost 90% of the data in the world today has been created just in the last two years alone. This indicates an exponential growth and will be unsustainable unless disruptive data storage solutions are found. This data comes from everywhere: social media posts, pictures and videos, ebooks, digital music, sensors for climate data, financial transaction records, and cell phone GPS and connection information to name a few. This is what we refer to as big data.
This research program takes on two distinct challenges: 1) designing efficient DS solutions, and, 2) inventing capacity-achieving codes to write on flash memories. Together, these two areas provide a complete picture for the next generation of cloud storage where users/nodes store information locally on flash drives with improved capacity and longevity. Globally, a highly sophisticated network storage protocol provides a distributed information repository which is expected to be reliable, efficient, scalable, low-latency, cost-effective, and secure.
Prof. Yousefi’s group at the Signal Design and Analysis Laboratory (SDAL) at Queen’s University is a world leader in the design of graph codes and network protocols. Previous findings in the areas of distributed network and rateless coding will be leveraged to achieve our goals in the distributed storage studies of this proposal. Code design for flash memory will also benefit largely from our previous work and inventions in algebraic and random coding.
The outcome of this research will have far-reaching implications for millions of users in Canada and around the globe as we transform the way today's big data is stored and shared. Our research will conserve natural resources and energy by reducing the number of storage units needed and prolonging the lifespan of many electronic devices requiring data storage. This will have a profound effect on our environment by reducing pollution. The results provide technological advantages and highly qualified personnel (HQP) for a sector of the Canadian economy with $155 billion in revenues. This sector is one of the largest performers of private sector R&D with a Canadian GDP contribution of $67.2 billion and employs a knowledge-intensive workforce. The HQP will be highly trained in technical entrepreneurship, research and development, presentation and technical writing.
数据存储(DS)是数字信息系统蓬勃发展的基础之一。随着基于云的系统和大容量移动设备的日益普及,对可持续存储解决方案的需求日益迫切。当前的DS系统将无法处理创建数据的速度。每天,我们创建大约2.5万亿字节(1后面跟着18个零)的数据。令人惊讶的是,今天世界上几乎90%的数据都是在过去两年里创造出来的。这表明数据呈指数级增长,除非找到颠覆性的数据存储解决方案,否则这种增长将不可持续。这些数据无处不在:社交媒体帖子、图片和视频、电子书、数字音乐、气候数据传感器、金融交易记录、手机GPS和连接信息等等。这就是我们所说的大数据。
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 }}
Yousefi, Shahram其他文献
An exact expression for the wiener index of a TUC4C8(R) nanotorus
- DOI:
10.1007/s10910-006-9158-x - 发表时间:
2007-11-01 - 期刊:
- 影响因子:1.7
- 作者:
Yousefi, Shahram;Ashrafi, Ali Reza - 通讯作者:
Ashrafi, Ali Reza
Yousefi, Shahram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('Yousefi, Shahram', 18)}}的其他基金
Sustainable data storage solutions: embracing the cloud and big data
可持续数据存储解决方案:拥抱云和大数据
- 批准号:
RGPIN-2015-05670 - 财政年份:2019
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Sustainable data storage solutions: embracing the cloud and big data
可持续数据存储解决方案:拥抱云和大数据
- 批准号:
RGPIN-2015-05670 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Sustainable data storage solutions: embracing the cloud and big data
可持续数据存储解决方案:拥抱云和大数据
- 批准号:
RGPIN-2015-05670 - 财政年份:2017
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Sustainable data storage solutions: embracing the cloud and big data
可持续数据存储解决方案:拥抱云和大数据
- 批准号:
RGPIN-2015-05670 - 财政年份:2015
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Rateless codes for advanced architectures
适用于高级架构的无速率代码
- 批准号:
283192-2010 - 财政年份:2014
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Rateless codes for advanced architectures
适用于高级架构的无速率代码
- 批准号:
283192-2010 - 财政年份:2013
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Rateless codes for advanced architectures
适用于高级架构的无速率代码
- 批准号:
283192-2010 - 财政年份:2012
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Rateless codes for advanced architectures
适用于高级架构的无速率代码
- 批准号:
401362-2010 - 财政年份:2012
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Rateless codes for advanced architectures
适用于高级架构的无速率代码
- 批准号:
401362-2010 - 财政年份:2011
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Accelerator Supplements
Rateless codes for advanced architectures
适用于高级架构的无速率代码
- 批准号:
283192-2010 - 财政年份:2011
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
相似国自然基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
- 批准号:
- 批准年份:2024
- 资助金额:万元
- 项目类别:合作创新研究团队
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
- 批准号:
- 批准年份:2024
- 资助金额:万元
- 项目类别:外国青年学者研究基金项目
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
- 批准号:
- 批准年份:2020
- 资助金额:40 万元
- 项目类别:
基于高频信息下高维波动率矩阵估计及应用
- 批准号:71901118
- 批准年份:2019
- 资助金额:18.0 万元
- 项目类别:青年科学基金项目
半参数空间自回归面板模型的有效估计与应用研究
- 批准号:71961011
- 批准年份:2019
- 资助金额:16.0 万元
- 项目类别:地区科学基金项目
高频数据波动率统计推断、预测与应用
- 批准号:71971118
- 批准年份:2019
- 资助金额:50.0 万元
- 项目类别:面上项目
基于个体分析的投影式非线性非负张量分解在高维非结构化数据模式分析中的研究
- 批准号:61502059
- 批准年份:2015
- 资助金额:19.0 万元
- 项目类别:青年科学基金项目
基于Linked Open Data的Web服务语义互操作关键技术
- 批准号:61373035
- 批准年份:2013
- 资助金额:77.0 万元
- 项目类别:面上项目
体数据表达与绘制的新方法研究
- 批准号:61170206
- 批准年份:2011
- 资助金额:55.0 万元
- 项目类别:面上项目
一类新Regime-Switching模型及其在金融建模中的应用研究
- 批准号:11061041
- 批准年份:2010
- 资助金额:24.0 万元
- 项目类别:地区科学基金项目
相似海外基金
Building Capacity in MorphoSource through state-of-art, flexible data storage protocols for broader and more sustainable adoption by museums and other mass-data producers.
通过最先进、灵活的数据存储协议建设 MorphoSource 的能力,以便博物馆和其他海量数据生产者更广泛、更可持续地采用。
- 批准号:
2311380 - 财政年份:2023
- 资助金额:
$ 1.82万 - 项目类别:
Continuing Grant
CC* Data Storage: Tiger Den: sustainable campus-wide data system to support CI-enabled research and education
CC* 数据存储:Tiger Den:可持续的校园范围数据系统,支持 CI 支持的研究和教育
- 批准号:
2322246 - 财政年份:2023
- 资助金额:
$ 1.82万 - 项目类别:
Standard Grant
Creating Scalable, Reliable, Sustainable Infrastructure for FAIR Data
为公平数据创建可扩展、可靠、可持续的基础设施
- 批准号:
10166440 - 财政年份:2019
- 资助金额:
$ 1.82万 - 项目类别:
Sustainable data storage solutions: embracing the cloud and big data
可持续数据存储解决方案:拥抱云和大数据
- 批准号:
RGPIN-2015-05670 - 财政年份:2019
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Sustainable data storage solutions: embracing the cloud and big data
可持续数据存储解决方案:拥抱云和大数据
- 批准号:
RGPIN-2015-05670 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
Dfam: sustainable growth, curation support, and improved quality for mobile element annotation
Dfam:可持续增长、管理支持和移动元素注释质量的提高
- 批准号:
10165778 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Dfam: sustainable growth, curation support, and improved quality for mobile element annotation
Dfam:可持续增长、管理支持和移动元素注释质量的提高
- 批准号:
9764454 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Dfam: sustainable growth, curation support, and improved quality for mobile element annotation
Dfam:可持续增长、管理支持和移动元素注释质量的提高
- 批准号:
10407543 - 财政年份:2018
- 资助金额:
$ 1.82万 - 项目类别:
Sustainable data storage solutions: embracing the cloud and big data
可持续数据存储解决方案:拥抱云和大数据
- 批准号:
RGPIN-2015-05670 - 财政年份:2017
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
The Chorus Project: A Sustainable Cloud Solution for Mass Spectrometry Data
Chorus 项目:质谱数据的可持续云解决方案
- 批准号:
9216498 - 财政年份:2017
- 资助金额:
$ 1.82万 - 项目类别: