What does this research mean for the field?

Compression techniques for stream aggregates present specific trade-offs between computational performance and memory usage. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This paper explores how to balance performance and memory usage when compressing stream aggregates.

June 1, 20260 citationsOpen Access

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ArticleRELAX WorkshopBalancing Performance and Memory: Investigating Compression Trade-offs for Stream Aggregates

LYLiu Yi JLJingyu Liu VGVincenzo Gulisano

Key Points

This paper explores how to balance performance and memory usage when compressing stream aggregates.
Presented findings at the RELAX Workshop of the 19th ACM International Conference
Investigated various compression techniques
Analyzed the impact of these techniques on performance and memory
Identified key trade-offs between compression levels and performance metrics
Demonstrated effective strategies for optimizing memory while maintaining performance

Abstract

This is the paper published on the RELAX Workshop of the 19th ACM International Conference on Distributed and Event-based Systems.

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ArticleRELAX WorkshopBalancing Performance and Memory: Investigating Compression Trade-offs for Stream Aggregates

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Abstract

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