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A research-oriented distributed framework for simulating and experimenting with energy-aware serverless computing at the edge.
Defensibility
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3
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1
faasHouse is an academic research project that appears to have been developed for a specific study or thesis. With only 3 stars and 1 fork after nearly three years (1014 days), it has zero market traction or developer velocity. While the scope is ambitious—integrating workload generation, scheduling, and renewable energy simulation—it lacks the robustness of industry-standard edge frameworks like KubeEdge, OpenFaaS, or Baetyl. The inclusion of energy simulators is a novel niche for research, but as a software project, it is essentially a dead-end prototype. Frontier labs have no interest in this space, and hyperscalers already provide far more advanced edge-computing solutions (e.g., AWS IoT Greengrass). Its value is purely as a reference for researchers looking into energy-aware FaaS scheduling, rather than a defensible technology product.
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