CNS Core: Small: Optimizing Distributed Transactions on Emerging Hardware

复制的事务存储通过提供简单而强大的抽象，简化了分布式系统的编程和推理：事务的原子和持久执行，可以在节点故障后继续执行。因此，许多数据中心系统使用事务性存储作为关键的构建块。本项目回顾了这一研究主题，以解决多种硬件趋势带来的机遇和挑战，例如，处理器上的大核数、可编程网络接口和低延迟存储。该项目寻求使用减少协调和最大化网络和存储性能的原则构建分布式事务存储系统。特别是，该项目寻求通过利用现代硬件功能（从核心重服务器到可编程网络设备以及分层和高度并行的持久存储）来优化分布式事务存储。一个关键目标是设计分布式协议，使跨核协调流量最小化，从而提供多核可扩展的解决方案。此外，该项目将提炼远程访问通信原语，由可编程网络接口启用，以优化事务处理。该项目还将研究如何在异构存储（包括低延迟非易失性存储器）上支持持久数据结构。需要支持事务性存储的数据中心应用程序每天被全球数十亿人使用。通过提高分布式事务的效率和减少延迟/开销，该项目旨在大幅降低现有基于数据中心的服务的成本，并使开发新公共服务的成本大大降低。硬件供应商的合作者在这项工作中是平等的伙伴，提供获得新硬件技术的途径，并协助项目执行和向行业转移技术。开发的软件还将丰富各个层次的分布式系统课程。对于更广泛的用户社区和整个社会，该项目将定期发布开发的软件，以实现丰富的分布式系统和高性能数据中心应用程序集。一个公共存储库将至少维持到2025年12月，网址为https://github.com/arvindkrish/dist-transactions/tree/master.This。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。

Replicated transactional storage simplifies the programming and reasoning about distributed systems by providing a simple and powerful abstraction: atomic and durable execution of transactions that can survive node failures. As a consequence, many datacenter systems using transactional storage as a critical building block. This project revisits this research topic to address the opportunities and challenges posed by multiple hardware trends, e.g., large core counts on processors, programmable network interfaces, and low-latency storage. The project seeks to build distributed transactional storage systems using principles that reduce coordination and maximize network and storage performance.In particular, the project seeks to optimize distributed transactional storage by taking advantage of modern hardware features ranging from core-heavy servers to programmable network devices and tiered and highly-parallel durable storage. A key goal is to design distributed protocols that minimize cross-core coordination traffic to provide multi-core scalable solutions. Further, the project will distill remote access communication primitives, enabled by a programmable network interface, in order to optimize transaction processing. The project will also examine how to support durable data structures on heterogeneous storage that includes low-latency non-volatile memory.Datacenter applications that require support for transactional storage are used by literally billions of people around the globe daily. By improving the efficiency of distributed transactions and reducing latency/overheads, the project seeks to dramatically reduce the cost of existing datacenter-based services as well as make it much cheaper for new public services to be developed. Collaborators at hardware vendors are equal partners in this effort, providing access to new hardware technologies and assisting in project execution and technology transfer to the industry. The developed software will also enrich the distributed systems curriculum at all levels.For the broader community of users and the society at large, the project will periodically release the developed software to enable a rich set of distributed systems and high-performance datacenter applications. A public repository will be maintained until at least December 2025 at https://github.com/arvindkrish/dist-transactions/tree/master.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.