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20242026
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cs.DC2026

A Kubernetes Scheduler Plugin for Cluster-Wide Placement Optimisation

Henrik Daniel Christensen, Saverio Giallorenzo, Jacopo Mauro

The default scheduler of Kubernetes, the state-of-the-art container orchestrator, uses fast, local placement decisions. Unfortunately, this design leads to resource fragmentation,…

cs.DC2025

Priority Matters: Optimising Kubernetes Clusters Usage with Constraint-Based Pod Packing

Henrik Daniel Christensen, Saverio Giallorenzo, Jacopo Mauro

Distributed applications employ Kubernetes for scalable, fault-tolerant deployments over computer clusters, where application components run in groups of containers called pods. Th…

cs.DC2025

Affinity-aware Serverless Function Scheduling

Giuseppe De Palma, Saverio Giallorenzo, Jacopo Mauro +2

Functions-as-a-Service (FaaS) is a Serverless Cloud paradigm where a platform manages the scheduling (e.g., resource allocation, runtime environments) of stateless functions. Recen…

cs.DC2024

On the Complexity of Reachability Properties in Serverless Function Scheduling

Giuseppe De Palma, Saverio Giallorenzo, Jacopo Mauro +2

Functions-as-a-Service (FaaS) is a Serverless Cloud paradigm where a platform manages the execution scheduling (e.g., resource allocation, runtime environments) of stateless functi…

cs.DC2024

FunLess: Functions-as-a-Service for Private Edge Cloud Systems

Giuseppe De Palma, Saverio Giallorenzo, Jacopo Mauro +2

We present FunLess, a Function-as-a-Service (FaaS) platform tailored for the private edge cloud system. FunLess responds to recent trends that advocate for extending the coverage o…