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Explains why Tokio's scheduler does not preserve task ordering at scale, using a real-world example of 1M tasks, and highlights the difference between progress and ordering.
This paper proposes two hardware-agnostic dynamic scheduling strategies (a model-free reinforcement learning agent and an on-the-fly approximated prediction method) for managing task execution in batteryless IoT devices with unknown workloads, and evaluates them against existing approaches using a simulation framework with real-world solar data.
The ChatGPT desktop app has added a scheduled task feature that automatically sends daily briefings and categorized feedback, and supports converting local workflows into workspace agents running in the cloud.