Abstract
The Topology-aware Allocation Priority Policies (tAPP) language allows users of serverless platforms to orient the scheduling of their functions w.r.t. the topological properties of the available computation nodes. A tAPP-based platform can support multiple scheduling policies, which one would usually enforce via (brittle) ad-hoc multi-instance platform deployments.
In this paper, we present an extension of the Apache OpenWhisk serverless platform that supports tAPP-based scripts. We show that our extension does not negatively impact the performance of generic, non-topology-bound serverless scenarios, while it increases the performance of topology-bound ones.
This work has been partially supported by the research project FREEDA (CUP: I53D23003550006) funded by the framework PRIN 2022 (MUR, Italy), RTM &R (CUP: J33C22001170001) funded by the MUR National Recovery and Resilience Plan (European Union - NextGenerationEU) and the French ANR project SmartCloud ANR-23-CE25-0012.
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Notes
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For reproducibility, we provide the list of the rejection criteria applied to all 63 non-AWS discarded projects at [1].
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In data-locality, min_memory has a slightly lower average than shared, but the latter has both lower variance and maximal latency.
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De Palma, G., Giallorenzo, S., Mauro, J., Trentin, M., Zavattaro, G. (2024). An OpenWhisk Extension for Topology-Aware Allocation Priority Policies. In: Castellani, I., Tiezzi, F. (eds) Coordination Models and Languages. COORDINATION 2024. Lecture Notes in Computer Science, vol 14676. Springer, Cham. https://doi.org/10.1007/978-3-031-62697-5_11
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