H-store: a high-performance, distributed main memory transaction processing system

By Robert Kallman, Hideaki Kimura, Jonathan Natkins, Andrew Pavlo, A. Rasin, S. Zdonik, Evan P. C. Jones, Samuel Madden, M. Stonebraker, Yang Zhang and 2 more. Proceedings of the VLDB Endowment, 2008

634 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/055b77de59cf6b547d15eec6251a211323c7da63

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Citations in the corpus

Apache flink : Stream and batch processing in a single engine (2015, result): “This observation is close in spirit to fixed partitioning approaches recently presented in [6, 7].”
The RAMCloud Storage System (2015, background): “Examples include H-Store [Kallman et al. 2008] and HANA [Sikka et al.”
Incremental Detection of Inconsistencies in Distributed Data (2014, background): “Relation D may also be partitioned (fragmented) into ( D 1 , . . . , D n ) [18], [25] such that where F i is a Boolean predicate and selection σ F i ( D ) identi-ﬁes fragment D i .”
CockroachDB: The Resilient Geo-Distributed SQL Database (2020, background): “H-Store [31] and VoltDB [63] are main-memory databases that support serializable isolation and are optimized for partitionable workloads, but perform poorly on workloads with many cross-partition transactions since distributed transactions are processed by a single thread [79].”
Staring into the Abyss: An Evaluation of Concurrency Control with One Thousand Cores (2014, background): “Smallbase was an early proponent of this approach [22], and more recent examples include H-Store [27].”
HyPer: A hybrid OLTP&OLAP main memory database system based on virtual memory snapshots (2011, methodology): “Based on an early study for banking transactions [16] the authors of H-Store [17], [6], [5] deserve the credit for analyzing the overhead imposed by various traditional database management features (buffer management, logging, locking, etc.”
The adaptive radix tree: ARTful indexing for main-memory databases (2013, background): “This has led to very intense research and commercial activities in main-memory database systems like H-Store/VoltDB [1], SAP HANA [2], and HyPer [3].”
Data management in cloud environments: NoSQL and NewSQL data stores (2013, methodology): “The Google Spanner [29] solution is considered to be one of the most prominent representatives of this category, as is also VoltDB [30], which is based on the H-Store [31] research project.”
In-Memory Big Data Management and Processing: A Survey (2015, methodology): “Traditional write-ahead logging (WAL) is also the de facto approach used in in-memory database systems [35], [36], [37].”
Fast crash recovery in RAMCloud (2011, background): “However, H-Store is focused more on achieving full RDBMS semantics and less on achieving large scale or low latency to the same degree as RAMCloud.”