Distributed serverless function scheduling in ad-hoc drone networks

The increasing use of Unmanned Aerial Vehicles (UAVs) in critical applications, such as disaster response, compels efficient communication and computation frameworks for highly dynamic ad-hoc networks. We present an interpretation of Function-as-a-Service serverless computing within the distributed...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Ad hoc networks Jg. 178; S. 103951
Hauptverfasser: De Palma, Giuseppe, Giallorenzo, Saverio, Heideker, Alexandre, Trentin, Matteo, Trotta, Angelo, Zavattaro, Gianluigi
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 01.11.2025
Elsevier
Schlagworte:
Computer Science
Distributed Function-as-a-Service (FaaS) scheduling
Distributed, Parallel, and Cluster Computing
FaaS scheduling language
Overlay networks
Serverless computing
Unmanned Aerial Vehicles (UAVs)
FaaS scheduling language
Distributed Function-as-a-Service (FaaS) scheduling
Overlay networks
Serverless computing
Unmanned Aerial Vehicles (UAVs)
Serverless Computing
Unmanned Aerial Vehicles
Ad-hoc Networks
ISSN:1570-8705
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The increasing use of Unmanned Aerial Vehicles (UAVs) in critical applications, such as disaster response, compels efficient communication and computation frameworks for highly dynamic ad-hoc networks. We present an interpretation of Function-as-a-Service serverless computing within the distributed settings of drone swarms to address their peculiar challenges in functionality deployment, resource allocation, and mission adaptability. We propose a novel two-layer network overlay architecture, combining a gossip-based topology management layer with a function scheduling layer to support distributed function scheduling. Our system introduces a declarative language of Ad-Hoc Allocation Priority Policies (AHAPP), tailored for ad-hoc drone networks, enabling flexible function deployment based on resource constraints and operational needs. The resulting combination addresses the volatility of UAVs networks by supporting execution semantics for stable- and dynamic-topology scenarios, function offloading, and resilience to network disruptions. We present experiments confirming that the features provided by our proposal support the efficient execution of serverless functions in ad-hoc drone networks, effectively handling their dynamic and heterogeneous nature, while achieving strong performance in terms of reliability, scheduling time, and communication overhead. •Distributed function deployment by combining serverless computing and drone networks•Reliable distributed communication through gossiping and scheduling overlay layers•A specialised declarative language for defining function scheduling policies in drone networks•Simulations evidence reliability, fast deployment, and low communication overhead
ISSN:1570-8705
DOI:10.1016/j.adhoc.2025.103951