S Dong, A Kryczka, Y Jin, M Stumm - ACM Transactions on Storage (TOS …, 2021 - dl.acm.org
This article is an eight-year retrospective on development priorities for RocksDB, a key-value store developed at Facebook that targets large-scale distributed systems and that is …
C Zhu, J Li, Z Zhong, C Yue, M Zhang - Data Science and Engineering, 2023 - Springer
The success of blockchain technology in cryptocurrencies reveals its potential in the data management field. Recently, there is a trend in the database community to integrate …
Data is a precious resource in today's society, and it is generated at an unprecedented and constantly growing pace. The need to store, analyze, and make data promptly available to a …
Y Matsunobu, S Dong, H Lee - Proceedings of the VLDB Endowment, 2020 - dl.acm.org
Facebook uses MySQL to manage tens of petabytes of data in its main database named the User Database (UDB). UDB serves social activities such as likes, comments, and shares. In …
RocksDB is a key-value store targeting large-scale distributed systems and optimized for Solid State Drives (SSDs). This paper describes how our priorities in developing RocksDB …
P Duraisamy, W Xu, S Hare, R Rajwar… - Proceedings of the 28th …, 2023 - dl.acm.org
Fast DRAM increasingly dominates infrastructure spend in large scale computing environments and this trend will likely worsen without an architectural shift. The cost of …
J Zhou, M Xu, A Shraer, B Namasivayam… - Proceedings of the …, 2021 - dl.acm.org
FoundationDB is an open source transactional key value store created more than ten years ago. It is one of the first systems to combine the flexibility and scalability of NoSQL …
R Guo, X Luan, L Xiang, X Yan, X Yi, J Luo… - arXiv preprint arXiv …, 2022 - arxiv.org
With the development of learning-based embedding models, embedding vectors are widely used for analyzing and searching unstructured data. As vector collections exceed billion …
R Wang, J Wang, P Kadam, MT Özsu… - 2023 IEEE 39th …, 2023 - ieeexplore.ieee.org
The emerging trend of memory disaggregation where CPU and memory are physically separated from each other and are connected via ultra-fast networking, eg, over RDMA …