Phase II IUCRC CRSS: Center for Research in Storage Systems

CRSS （Center for Research in Storage Systems）是存储系统研究中心，致力于提高数据存储的性能、安全性、可靠性、效率和可用性。由数千甚至数百万个存储设备组成的系统必须提供这些特性，尽管单个设备可能缺乏这些特性。在如此庞大、复杂的系统中查找和使用数据具有挑战性，但必须使其对最终用户简单有效。复杂的系统也容易受到硬件和软件故障的影响，也容易受到窃取或破坏数据的定向攻击，因此存储系统必须同时防范安全漏洞和数据丢失。CRSS关注的是调整系统以更好地利用新的存储技术，如字节可寻址非易失性存储器（BNVM）、瓦片磁盘和玻璃。操作系统和文件系统必须适应这些新技术，为BNVM提供更高的性能和更好的可用性，并提高档案存储的安全性、效率和长期可靠性。跨领域问题，如提高安全性和使用机器学习来优化存储系统，与所有类型的存储系统相关，但在如何解决这些问题方面仍有许多悬而未决的问题，特别是考虑到CRSS正在探索的时间和规模都很大。改进大规模数据科学的存储系统也是CRSS正在解决的一个重大挑战。数据存储是我们数字社会的基础：我们的绝大多数知识和信息都是以数字方式存储的。在CRSS所做的研究将使整个社会更好地保存和利用我们的世界正在收集的信息洪流。CRSS研究将帮助云提供商提供更可靠和可用的大规模存储，并有助于降低安全漏洞的风险。CRSS的研究还将帮助组织存储和访问物联网产生的大量数据，进一步帮助解决气候、交通和住房等广泛的社会问题。CRSS将在https://www.crss.ucsc.edu/repository.html上维护一个可web访问的项目存储库，该存储库将链接到所有CRSS站点开发的出版物、数据和代码。代码将托管在gitlab.soe.ucsc.edu或bitbucket.org上。跟踪将在本地托管或捐赠给存储网络行业协会的输入/输出跟踪、工具和分析（IOTTA）技术工作组操作的存储库。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。

The Center for Research in Storage Systems (CRSS) conducts research to improve the performance, security, reliability, efficiency, and usability of data storage. A system composed of thousands or even millions of storage devices must provide these characteristics, though individual devices may lack them. Finding and using data in such large, complex systems is challenging, yet it must be made simple and efficient for end users. Complex systems are also subject both to hardware and software failures as well as directed attacks to steal or destroy data, so storage systems must guard against both security breaches and data loss.CRSS is concerned with adapting systems to better utilize new storage technologies such as byte-addressable non-volatile memory (BNVM), shingled disk, and glass. Operating systems and file systems must adapt to these new technologies to provide higher performance and better usability for BNVM, and improved security, efficiency, and long-term reliability for archival storage. Cross-cutting issues such as improved security and the usage of machine learning to optimize storage systems are relevant for all types of storage systems, yet there remain many open questions in how to address these issues, particularly given the large scale in both time and size that CRSS is exploring. Improving storage systems for large-scale data science is also a significant challenge that CRSS is addressing.Data storage is the foundation of our digital society: the vast majority of our knowledge and information is stored digitally. The research done at CRSS will allow society as a whole to better keep and utilize the flood of information our world is gathering. CRSS research will help cloud providers provide more reliable and usable large-scale storage, and will help reduce the risk of security breaches. CRSS research will also help organizations store and access the massive amounts of data generated by the Internet of Things, further aiding a wide range of societal issues such as climate, transportation, and housing.CRSS will maintain a Web-accessible project repository at https://www.crss.ucsc.edu/repository.html, which will have links to publications, data, and code developed by all CRSS sites. Code will be hosted on either gitlab.soe.ucsc.edu or bitbucket.org. Traces will be hosted locally or donated to the repository operated by the Storage Networking Industry Association's Input/Output Traces, Tools, and Analysis (IOTTA) Technical Work Group.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.