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New Accepted Paper: Steady scheduling

Shuyu Cao
Dayu Contributor · Nanjing University
Lei Xie
Dayu TSC Chair · Nanjing University

Our paper "Tackling the Runtime Context Fluctuation: Steady Scheduling in Data Stream Analytics for Industrial Internet of Things" is Accepted by IEEE ICDCS 2026!

This paper proposes a steady scheduling framework based on the concept of side-effect for IIoT data stream analytics, which updates only configurations with small side-effects to shrink the search space, thereby maintaining already-met QoS objectives while re-meeting violated ones under runtime context fluctuations.

New Accepted Paper: Hier-EI

Wenhui Zhou
Dayu TSC Vice Chair & Maintainer · Nanjing University
Lei Xie
Dayu TSC Chair · Nanjing University

Our paper "Tackling the Imbalance in Video Analytics Pipelines with Hierarchical Embodied Intelligence" is Accepted by IEEE INFOCOM 2026!

This paper proposes Hier-EI (Hierahical Embodied Intelligence), an efficient scheduling framework that integrates a two-phase hierarchical design with embodied intelligence, which simultaneously considers spatial and temporal imbalance and enhance long-term QoE performance in cloud-edge collaborative video analytics pipelines.

Refer to homepage: https://dayu-autostreamer.github.io/hier-ei/.

New Accepted Paper: CRAVE

Bingyun Yang
Dayu Contributor · Nanjing University
Lei Xie
Dayu TSC Chair · Nanjing University

Our paper "Adaptive Region-aware Video Encoding for Real-time Cloud-edge Collaborative Object Detection" is Accepted by IEEE ICDCSW 2025!

This paper proposes CRAVE (Collaborative Region-aware Adaptive Video Encoding), which achieves efficient candidate region extraction through lightweight foreground detection and historical inference result analysis.