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Function-specific scheduling policies in cloud–edge serverless systems
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DOI：10.1016/j.future.2026.108691.png)
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Abstract
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Cloud–edge serverless applications span multiple regions, e.g. local private networks and public cloud, and introduce the need to govern the scheduling of functions to satisfy their functional constraints or avoid performance degradation. For instance, functions may require to be allocated to specific private (edge) nodes that have access to specialised resources or to nodes with low latency to access a certain database to decrease the overall latency of the application. State-of-the-art serverless platforms do not support directly the implementation of topological constraints on the scheduling of functions. We address this problem by presenting a declarative language for defining topology-aware, function-specific serverless scheduling policies, called tAPP. Given a tAPP script, a compatible serverless scheduler can enforce different, co-existing topological constraints without requiring ad-hoc platform deployments. We prove our approach feasible by implementing a tAPP-based serverless platform as an extension of the Apache OpenWhisk serverless platform. We show that our extension naturally allows for cloud–edge deployments with topology-aware requirements which cannot be supported by standard deployments of vanilla OpenWhisk.
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