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Workshop on Data Storage Research Vision

Workshop on Data Storage Research Vision
数据存储研究愿景研讨会
批准号:
1829096
负责人:
Ali Butt
金额:
$5.0万
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
项目状态:
已结题
起止时间:
2018-04-01 至 2018-09-30

项目摘要

项目成果

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中文摘要
翻译
该奖项资助了一个重点研讨会,将广泛的科学家、系统研究人员和信息技术(IT)从业者聚集在一起,讨论和建立存储系统的未来愿景。讲习班的产出将是一份公开报告,记录讨论和对未来存储研究方向的一套建议。该研讨会和报告还应该促进出席该研讨会的不同研究团体之间的有效研究合作。随着物联网(IoT)时代的到来,大数据革命正在推动对新型和创新存储系统的需求,以越来越快的速度存储、管理、检索和有效利用前所未有的数据量。在短期和长期内,有许多开放的挑战和研究问题需要解决,以确保持续的存储系统效能和性能。特别是,现代和新兴存储系统的广泛应用需要重新审视存储系统的基本设计。需要重新评估现有的标准和抽象,并且需要设计新的可持续的数据表示来支持新兴的应用程序。新的存储软件设计也是必要的,以利用硬件的进步,如持久存储器,以最大限度地提高效率和性能。研讨会将确定设计未来存储系统的主要问题,并确定存储研究的远景。需要考虑的一些广泛的方向包括但不限于:1)如何发展存储系统,以应对深度学习和物联网等新兴应用带来的规模、吞吐量和可持续性挑战?2)如何解决分配、管理、隐私、性能和多租户问题,以满足数据从内部部署到云部署的大量迁移需求?3)如何为新的存储系统设计文件系统编程接口和高级且易于使用的接口?4)如何设计编程模型来有效地支持创新存储和深度存储层次结构?5)如何解决管道问题并培训下一代存储系统研究人员?6)如何设计并使系统研究人员易于实现新的应用和存储硬件?研讨会参与者将负责评估与存储系统相关的研究现状和方向,同时为设计可持续和可扩展的存储架构的当前,短期和长期需求相关的研究提出建议。研讨会报告以及参与者和组织者的名单和传记将通过研讨会网站向社区提供。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This award funds a focused workshop for bringing together a broad range of scientists, systems researchers, and information technology (IT) practitioners to discuss and establish a vision for the future of storage systems. The output of the workshop will be a public report documenting the discussions and a set of recommendations on future storage research directions. The workshop and the report should also stimulate effective research collaborations between the disparate research communities represented at the workshop. The big data revolution along with the dawn of the age of Internet of Things (IoT) is driving the need for novel and innovative storage systems to store, manage, retrieve, and efficiently utilize unprecedented volumes of data at increasingly faster speeds. There are a number of open challenges and research issues that need to be addressed both in the short and long term to ensure sustained storage systems efficacy and performance. In particular, the wide variety of applications of modern and emerging storage systems entail that the fundamental design of storage systems should be revisited. Existing standards and abstractions need to be reevaluated, and new sustainable data representations need to be designed to support emerging applications. New storage software designs are also necessary to take advantage of the hardware advancements such as persistent memories in order to maximize efficiency and performance.The workshop will identify the major issues of designing future storage systems and define a vision for storage research. Some of the broad set of directions to consider include, but are not limited to: 1) How to evolve storage systems to meet the challenges of scale, throughput, and sustainability arising from emerging applications such as deep learning and IoT? 2) How to address allocation, management, privacy, performance, and multi-tenancy to meet the demands of the intense migration of data from on-premise to cloud deployments? 3) How to design file system programming interfaces and higher-level yet simple-to-use interfaces for new storage systems? 4) How to design programming models to efficiently support innovative storage and deep storage hierarchies? 5) How to address pipeline issues and train the next generation of storage systems researchers? 6) How to design and make it easy for systems researchers to realize new applications and storage hardware? Workshop participants will be charged with assessing the current state and direction of research related to storage systems while making recommendations for research related to the current, short-term, and long-term needs of designing sustainable and scalable storage architectures.The workshop report, along with the list and biographies of the participants and the organizers, will be made available to the community via the workshop website.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.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Data Storage Research Vision 2025 Report
数据存储研究 2025 年愿景报告
DOI: --
发表时间: 2019
期刊: Technical Report
影响因子: --
作者: [Amvrosiadis, George, Butt, Ali R., Tarasov, Vasily, Zadok, Erez, Zhao, Ming]
通讯作者: Zhao, Ming
Collaborative Research: CNS Core: Medium:HardLambda: A new FaaS Abstraction for Cross-Stack Resource Management in Disaggregated Datacenters
SPX: Collaborative Research: Cross-stack Memory Optimizations for Boosting I/O Performance of Deep Learning HPC Applications
CSR: Small: Collaborative Research: Scalable Fine-Grained Cloud Monitoring for Empowering IoT
Student Travel Support for IEEE 23rd International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2015)
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: