CSR: Small: Squeezing More Performance Out of Distributed Storage Systems With a Transparent Ordering-Control Layer

分布式存储系统是当今Web应用的基本推动力，这些应用在人们的日常生活中无处不在，对社会产生了无与伦比的影响。原则上，学术研究应该能够直接使这些制度受益，在改善社会福利方面发挥至关重要的作用。然而，现有的研究创新很少用于生产。该提案设计了新的技术来提高已部署系统的性能，而无需更改其代码库，从而确保易于采用，从而产生直接的实际影响。拟议的研究将推进分布式存储系统设计的最新技术水平，并有助于将学术创新转化为实际部署。该项目将培养STEM人才，并通过培训本科生和研究生来扩大参与，为代表性不足的群体提供研究机会，并鼓励整合教学和研究的课程设计。该项目旨在了解请求排序对并发控制和复制性能的影响，这是分布式存储系统的两个关键组成部分，并设计解决方案，提高系统的性能，而不必改变其当前部署的并发控制和复制技术。这个项目的范围包括分布式事务、一致性模型、并发控制和复制。该项目将采取实验驱动的方法来理解请求排序对系统性能的影响，并通过利用请求排序来开发新的设计。该项目将根据最先进的技术对解决方案进行大规模的评估，并将其详细信息公之于众。该奖项反映了NSF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。

Distributed storage systems are a fundamental enabler of today’s web applications, which are ubiquitous in people’s daily lives and have an unparalleled impact on society. In principle, academic research should be able to directly benefit these systems, playing a vital role in improving social welfare. However, existing research innovations rarely reach production. This proposal designs novel techniques to improve the performance of deployed systems without having to change their codebase, and thus ensures ease of adoption which leads to direct practical impacts. The proposed research will advance the state of the art in the design of distributed storage systems and help with the translation of academic innovations into practical deployments. The project will build STEM talent and broaden participation by training both undergraduate and graduate students, providing research opportunities for underrepresented groups, and inspiring curriculum design that integrates teaching and research. This project aims to understand the impact of request ordering on the performance of concurrency control and replication, which are two critical components of distributed storage systems, and design solutions that improve the system's performance without having to change its currently deployed concurrency control and replication techniques. The scope of this project includes distributed transactions, consistency models, concurrency control, and replication. The project will take an experiment-driven approach to understand the implication of request ordering on system performance and develop new designs by leveraging request ordering. The project will evaluate the solutions at scale against state-of-the-art techniques and make their details publicly available.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.