SOURCE-LINKED INTELLIGENCE

Intelligent Edge Computing

arXiv · AI, language, vision and robotics · article · Aug 31, 2026 · UTC

The number of edge devices in large-scale edge systems is rapidly increasing. Edge devices have limited processing power, memory, and network bandwidth, making resource utilization and data management during edge query processing challenging. Joins are among the costliest database operations in terms of time and resources. The State-of-the-Art edge query processing, Column Imprint-Hash Join CI-HJ, addresses this challenge using equi-height binning to accelerate hash joins. However, it lacks efficiency in real-time processing and scans unnecessary cachelines. This paper presents Workload Aware

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Evidence & attribution

arXiv · AI, language, vision and robotics · 2026-08-31T18:04:32.000Z

First collected: 2026-09-21T06:41:57.136Z. This is not the publication date.