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arXiv AI By Kalgi Gandhi, Minal Bhise

Intelligent Edge Computing

Read the original on arXiv AI →

The paper introduces Workload Aware Column Imprint-Hash Join (WACI‑HJ), a new edge query processing technique that predicts upcoming workloads to pre‑compute hash bins, reducing unnecessary cacheline scans. Compared to the prior CI‑HJ method, WACI‑HJ cuts cacheline reads by 54% and improves query execution time by 10%, while also delivering measurable gains in CPU, RAM, and I/O energy efficiency. Experiments on benchmark and Smart Transportation datasets demonstrate its effectiveness for both scaled and skewed data, enabling faster real‑time traffic analysis and congestion management.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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