ALEX: an updatable adaptive learned index

J Ding, UF Minhas, J Yu, C Wang, J Do, Y Li… - Proceedings of the …, 2020 - dl.acm.org
Recent work on" learned indexes" has changed the way we look at the decades-old field of
DBMS indexing. The key idea is that indexes can be thought of as" models" that predict the …

Datacenter {RPCs} can be general and fast

A Kalia, M Kaminsky, D Andersen - 16th USENIX Symposium on …, 2019 - usenix.org
It is commonly believed that datacenter networking software must sacrifice generality to
attain high performance. The popularity of specialized distributed systems designed …

Wisckey: Separating keys from values in ssd-conscious storage

L Lu, TS Pillai, H Gopalakrishnan… - ACM Transactions On …, 2017 - dl.acm.org
We present WiscKey, a persistent LSM-tree-based key-value store with a performance-
oriented data layout that separates keys from values to minimize I/O amplification. The …

Focus: Querying large video datasets with low latency and low cost

K Hsieh, G Ananthanarayanan, P Bodik… - … USENIX Symposium on …, 2018 - usenix.org
Large volumes of videos are continuously recorded from cameras deployed for traffic control
and surveillance with the goal of answering “after the fact” queries: identify video frames with …

Recipe: Converting concurrent dram indexes to persistent-memory indexes

SK Lee, J Mohan, S Kashyap, T Kim… - Proceedings of the 27th …, 2019 - dl.acm.org
We present Recipe, a principled approach for converting concurrent DRAM indexes into
crash-consistent indexes for persistent memory (PM). The main insight behind Recipe is that …

{FaSST}: Fast, Scalable and Simple Distributed Transactions with {Two-Sided}({{{{{RDMA}}}}}) Datagram {RPCs}

A Kalia, M Kaminsky, DG Andersen - 12th USENIX Symposium on …, 2016 - usenix.org
FaSST is an RDMA-based system that provides distributed in-memory transactions with
serializability and durability. Existing RDMA-based transaction processing systems use one …

In-memory big data management and processing: A survey

H Zhang, G Chen, BC Ooi, KL Tan… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Growing main memory capacity has fueled the development of in-memory big data
management and processing. By eliminating disk I/O bottleneck, it is now possible to support …

Flatstore: An efficient log-structured key-value storage engine for persistent memory

Y Chen, Y Lu, F Yang, Q Wang, Y Wang… - Proceedings of the Twenty …, 2020 - dl.acm.org
Emerging hardware like persistent memory (PM) and high-speed NICs are promising to
build efficient key-value stores. However, we observe that the small-sized access pattern in …

{MICA}: A holistic approach to fast {In-Memory}{Key-Value} storage

H Lim, D Han, DG Andersen, M Kaminsky - 11th USENIX Symposium on …, 2014 - usenix.org
MICA is a scalable in-memory key-value store that handles 65.6 to 76.9 million key-value
operations per second using a single general-purpose multi-core system. MICA is over 4 …

Speedy transactions in multicore in-memory databases

S Tu, W Zheng, E Kohler, B Liskov… - Proceedings of the Twenty …, 2013 - dl.acm.org
Silo is a new in-memory database that achieves excellent performance and scalability on
modern multicore machines. Silo was designed from the ground up to use system memory …