Asymptotic Analysis of Self-Adjusting Contraction Trees
Pramod Bhatotia
TL;DR
This paper provides an asymptotic analysis of self-adjusting contraction trees, a data structure used for efficient incremental sliding window analytics, highlighting their theoretical performance characteristics.
Contribution
It introduces a formal asymptotic analysis of self-adjusting contraction trees, advancing understanding of their efficiency in incremental data processing.
Findings
Demonstrates the asymptotic efficiency of self-adjusting contraction trees
Provides theoretical bounds on performance for sliding window analytics
Enhances understanding of data structure behavior in incremental computations
Abstract
In this paper, we present asymptotic analysis of self-adjusting contraction trees for incremental sliding window analytics.
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Taxonomy
TopicsParallel Computing and Optimization Techniques · Complex Network Analysis Techniques · Advanced Database Systems and Queries