New Accepted Paper: Steady scheduling

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.

For more information, please refer to:

Shuyu Cao, Wenhui Zhou, Jingyi Ning, and Lei Xie. Tackling the Runtime Context Fluctuation: Steady Scheduling in Data Stream Analytics for Industrial Internet of Things. Accepted to appear in Proceeding of IEEE International Conference on Distributed Computing Systems (IEEE ICDCS) 2026.