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Kim et al., 2020 - Google Patents

Robust and efficient memory management in Apache AsterixDB

Kim et al., 2020

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Document ID
16459908512741647945
Author
Kim T
Behm A
Blow M
Borkar V
Bu Y
Carey M
Hubail M
Jahangiri S
Jia J
Li C
Luo C
Maxon I
Pirzadeh P
Publication year
Publication venue
Software: Practice and Experience

External Links

Snippet

Traditional relational database systems handle data by dividing their memory into sections such as a buffer cache and working memory, assigning a memory budget to each section to efficiently manage a limited amount of overall memory. They also assign memory budgets to …
Continue reading at onlinelibrary.wiley.com (PDF) (other versions)

Classifications

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    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386Retrieval requests
    • G06F17/30424Query processing
    • G06F17/30442Query optimisation
    • G06F17/30448Query rewriting and transformation
    • G06F17/30451Query rewriting and transformation of sub-queries or views
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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