Orchestrating Serverless Applications in the Edge Cloud Space Continuum: What Breaks and What is Next?
For researchers and engineers building serverless systems across heterogeneous edge-cloud environments including LEO satellites, this paper highlights fundamental gaps and offers a roadmap for future work.
The paper identifies ten broken assumptions in serverless orchestration for edge-cloud continuum with LEO satellites, categorizes them into three core challenges, and proposes an architecture demonstrated via a flood response use case.
Serverless computing has matured into an effective execution model for edge cloud environments, enabling function level decomposition, demand driven scaling, and workflow execution across stable, well provisioned infrastructure. This success motivates extending it to the edge cloud space continuum, where Low Earth Orbit (LEO) constellations are increasingly explored as distributed compute substrates. However, existing serverless orchestration is not directly applicable in this setting, where LEO systems impose time varying contact graphs, intermittent link availability, and strict feasibility constraints on energy, memory, communication, and operational cost. This article identifies ten broken assumptions in existing serverless orchestration and organizes them into three core challenges: spatiotemporal execution over dynamic graphs, constraint aware function placement and scaling, and correctness and progress under decentralized and delayed state. It then proposes an architecture that enables robust and efficient serverless execution across the continuum, grounded in these challenges and demonstrated through a representative flood response use case.