A hybrid page layout integrating PAX and NSM

Graefe, Goetz; Petrov, Ilia; Ivanov, T.; Marinov, V.

doi:10.1145/2513591.2513643

Cited by 2 publications

(1 citation statement)

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“…They account for different access properties in terms of access and data locality, cache-awareness, prefetching as well as operation and maintenance costs. Three widely used examples are the N-ary Storage Model (NSM) [23], the Decomposition Storage Model (DSM) [5], and, the hybrid between those, the Partition Attributes Across (PAX) [2], while HPL [8] bridges the gap between the two. The difference is the arrangement of records within the space of a classical page.…”

Section: Page Layoutsmentioning

confidence: 99%

On the Necessity of Explicit Cross-Layer Data Formats in Near-Data Processing Systems

Vinçon

Bernhardt

Weber

et al. 2020

2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW)

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Massive data transfers in modern data-intensive systems resulting from low datalocality and data-to-code system design hurt their performance and scalability. Near-Data processing (NDP) and a shift to code-to-data designs may represent a viable solution as packaging combinations of storage and compute elements on the same device has become feasible. The shift towards NDP system architectures calls for revision of established principles. Abstractions such as data formats and layouts typically spread multiple layers in traditional DBMS, the way they are processed is encapsulated within these layers of abstraction. The NDP-style processing requires an explicit definition of cross-layer data formats and accessors to ensure in-situ executions optimally utilizing the properties of the underlying NDP storage and compute elements. In this paper, we make the case for such data format definitions and investigate the performance benefits under RocksDB and the COSMOS hardware platform.

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Section: Page Layoutsmentioning

confidence: 99%

On the Necessity of Explicit Cross-Layer Data Formats in Near-Data Processing Systems

Vinçon

Bernhardt

Weber

et al. 2020

2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW)

View full text Add to dashboard Cite

show abstract

On the necessity of explicit cross-layer data formats in near-data processing systems

Weber

Vinçon

Knödler

et al. 2021

Distrib Parallel Databases

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Massive data transfers in modern data-intensive systems resulting from low data-locality and data-to-code system design hurt their performance and scalability. Near-Data processing (NDP) and a shift to code-to-data designs may represent a viable solution as packaging combinations of storage and compute elements on the same device has become feasible. The shift towards NDP system architectures calls for revision of established principles. Abstractions such as data formats and layouts typically spread multiple layers in traditional DBMS, the way they are processed is encapsulated within these layers of abstraction. The NDP-style processing requires an explicit definition of cross-layer data formats and accessors to ensure in-situ executions optimally utilizing the properties of the underlying NDP storage and compute elements. In this paper, we make the case for such data format definitions and investigate the performance benefits under RocksDB and the COSMOS hardware platform.

show abstract

A hybrid page layout integrating PAX and NSM

Cited by 2 publications

References 5 publications

On the Necessity of Explicit Cross-Layer Data Formats in Near-Data Processing Systems

On the Necessity of Explicit Cross-Layer Data Formats in Near-Data Processing Systems

On the necessity of explicit cross-layer data formats in near-data processing systems

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