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In-memory big data management and processing: A survey
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 …
management and processing. By eliminating disk I/O bottleneck, it is now possible to support …
Lambada: Interactive data analytics on cold data using serverless cloud infrastructure
Serverless computing has recently attracted a lot of attention from research and industry due
to its promise of ultimate elasticity and operational simplicity. However, there is no …
to its promise of ultimate elasticity and operational simplicity. However, there is no …
What's really new with NewSQL?
A Pavlo, M Aslett - ACM Sigmod Record, 2016 - dl.acm.org
A new class of database management systems (DBMSs) called NewSQL tout their ability to
scale modern on-line transaction processing (OLTP) workloads in a way that is not possible …
scale modern on-line transaction processing (OLTP) workloads in a way that is not possible …
FOEDUS: OLTP engine for a thousand cores and NVRAM
H Kimura - Proceedings of the 2015 ACM SIGMOD International …, 2015 - dl.acm.org
Server hardware is about to drastically change. As typified by emerging hardware such as
UC Berkeley's Firebox project and by Intel's Rack-Scale Architecture (RSA), next generation …
UC Berkeley's Firebox project and by Intel's Rack-Scale Architecture (RSA), next generation …
Main memory database recovery: A survey
Many of today's applications need massive real-time data processing. In-memory database
systems have become a good alternative for these requirements. These systems maintain …
systems have become a good alternative for these requirements. These systems maintain …
Data blocks: Hybrid OLTP and OLAP on compressed storage using both vectorization and compilation
This work aims at reducing the main-memory footprint in high performance hybrid OLTP &
OLAP databases, while retaining high query performance and transactional throughput. For …
OLAP databases, while retaining high query performance and transactional throughput. For …
Leanstore: In-memory data management beyond main memory
Disk-based database systems use buffer managers in order to transparently manage data
sets larger than main memory. This traditional approach is effective at minimizing the …
sets larger than main memory. This traditional approach is effective at minimizing the …
Managing non-volatile memory in database systems
Non-volatile memory (NVM) is a new storage technology that combines the performance
and byte addressability of DRAM with the persistence of traditional storage devices like flash …
and byte addressability of DRAM with the persistence of traditional storage devices like flash …
XIndex: a scalable learned index for multicore data storage
We present XIndex, a concurrent ordered index designed for fast queries. Similar to a recent
proposal of the learned index, XIndex uses learned models to optimize index efficiency …
proposal of the learned index, XIndex uses learned models to optimize index efficiency …
Reducing the storage overhead of main-memory OLTP databases with hybrid indexes
Using indexes for query execution is crucial for achieving high performance in modern on-
line transaction processing databases. For a main-memory database, however, these …
line transaction processing databases. For a main-memory database, however, these …