MOSAIC: Mobility-Oriented Scheduling and Intelligent Resource Allocation for IoT
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Updated
Mar 12, 2026 - Python
MOSAIC: Mobility-Oriented Scheduling and Intelligent Resource Allocation for IoT
Auditable discrete-event simulator for scientific workflow scheduling — every published number is independently verifiable bit-by-bit by any third party with one Python command.
Local-first carbon-aware workflow planner with optional BYOK Gemini drafts, human review, deterministic optimization, independent verification, offline replay and reproducible evidence.
Reproducible artifact for green-energy-aware online multi-objective DAG workflow scheduling.
Security-aware load balancer with predictive admission control (MERAF): reference implementation, discrete-event simulator and experiment pipeline.
fluss workflow scheduler plugin for rekuest
Energy-aware DAG workflow scheduling across edge–fog–cloud nodes using PSO, PPO reinforcement learning and DVFS. Master's thesis CSUN.
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