A Runtime System for Interruptible Query Processing: When Incremental Computing Meets Fine-Grained Parallelism - Artifact

The goal of PitStop is to use lazy evaluation to improve both throughput and operation latency for data processing systems. PitStop allows for queries and updates to be temporarily halted mid-traversal and continued at a later time. Though it may seem counter intuitive, this pausing allows for a fine-grained parallelism that helps to balance workload and alleviate workload fluctuation. This design also allows for further query optimization through the use of techniques such as batching and fusion.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-25
DOI
https://doi.org/10.5281/zenodo.13372050
Citations
1
Primary Topic
Advanced Database Systems and Queries
Type
article
Field-Weighted Citation Impact
0.35
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article

A Runtime System for Interruptible Query Processing: When Incremental Computing Meets Fine-Grained Parallelism - Artifact

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Advanced Database Systems and Queries
0.35
article

A Runtime System for Interruptible Query Processing: When Incremental Computing Meets Fine-Grained Parallelism - Artifact

article en
1 citations

Abstract

The goal of PitStop is to use lazy evaluation to improve both throughput and operation latency for data processing systems. PitStop allows for queries and updates to be temporarily halted mid-traversal and continued at a later time. Though it may seem counter intuitive, this pausing allows for a fine-grained parallelism that helps to balance workload and alleviate workload fluctuation. This design also allows for further query optimization through the use of techniques such as batching and fusion.

Zenodo (CERN European Organization for Nuclear Research)
Binghamton University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 32%
Advanced Database Systems and Queries
0.35
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