Compression-Aware In-Memory Query Processing: Vision, System Design and Beyond
Compression-Aware In-Memory Query Processing: Vision, System Design and Beyond
复制标题
压缩感知内存中查询处理:视觉、系统设计及其他
DOI:
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发表时间:
2016
期刊:
影响因子:
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通讯作者:
Wolfgang Lehner
中科院分区:
文献类型:
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作者:
Juliana Hildebrandt;Dirk Habich;Patrick Damme;Wolfgang Lehner
In-memory database systems have to keep base data as well as intermediate results generated during query processing in main memory. In addition, the effort to access intermediate results is equivalent to the effort to access the base data. Therefore, the optimization of intermediate results is interesting and has a high impact on the performance of the query execution. For this domain, we propose the continuous use of lightweight compression methods for intermediate results and have the aim of developing a balanced query processing approach based on compressed intermediate results. To minimize the overall query execution time, it is important to find a balance between the reduced transfer times and the increased computational effort. This paper provides an overview and presents a system design for our vision. Our system design addresses the challenge of integrating a large and evolving corpus of lightweight data compression algorithms in an in-memory column store. In detail, we present our model-driven approach and describe ongoing research topics to realize our compression-aware query processing vision.
DOI:
10.1007/978-3-319-31409-9_6
发表时间:
2015
期刊:
影响因子:
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作者:
Patrick Damme;Dirk Habich;Wolfgang Lehner
通讯作者:
Wolfgang Lehner
DOI:
10.1007/978-3-319-23135-8_11
发表时间:
2015
期刊:
影响因子:
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作者:
Patrick Damme;Dirk Habich;Wolfgang Lehner
通讯作者:
Wolfgang Lehner
DOI:
10.14778/2002938.2002940
发表时间:
2011
期刊:
Proc. VLDB Endow.
影响因子:
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作者:
T. Neumann
通讯作者:
T. Neumann