Paper Info
Title
Integer Compression in NVRAM-centric Data Stores: Comparative Experimental Analysis to DRAM
Abstract
Lightweight integer compression algorithms play an important role in in-memory database systems to tackle the growing gap between processor speed and main memory bandwidth. Thus, there is a large number of algorithms to choose from, while different algorithms are tailored to different data characteristics. As we show in this paper, with the availability of byte-addressable non-volatile random-access memory (NVRAM), a novel type of main memory with specific characteristics increases the overall complexity in this domain. In particular, we provide a detailed evaluation of state-of-the-art lightweight integer compression schemes and database operations on NVRAM and compare it with DRAM. Furthermore, we reason about possible deployments of middle- and heavyweight approaches for better adaptation to NVRAM characteristics. Finally, we investigate a combined approach where both volatile and non-volatile memories are used in a cooperative fashion that is likely to be the case for hybrid and NVRAM-centric database systems.
Year
DOI
Venue
2019
10.1145/3329785.3329923
Proceedings of the 15th International Workshop on Data Management on New Hardware
Keywords
Field
DocType
analysis, data compression, database systems, in-memory, nvram
Dram,Integer,Compression (physics),Computer science,Non-volatile random-access memory,Parallel computing
Conference
ISBN
Citations 
PageRank 
978-1-4503-6801-8
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Mikhail Zarubin101.35
Patrick Damme2148.06
Thomas Kissinger38713.03
Dirk Habich431762.59
Wolfgang Lehner52243294.69
Thomas Willhalm660443.67