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...
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| Vydané v: | Ad hoc networks Ročník 178; s. 103951 |
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| Hlavní autori: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier B.V
01.11.2025
Elsevier |
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| ISSN: | 1570-8705 |
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| Abstract | 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 |
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| AbstractList | 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 adhoc drone networks, effectively handling their dynamic and heterogeneous nature, while achieving strong performance in terms of reliability, scheduling 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 |
| ArticleNumber | 103951 |
| Author | Zavattaro, Gianluigi Trotta, Angelo De Palma, Giuseppe Trentin, Matteo Giallorenzo, Saverio Heideker, Alexandre |
| Author_xml | – sequence: 1 givenname: Giuseppe orcidid: 0000-0002-3016-0115 surname: De Palma fullname: De Palma, Giuseppe email: giuseppe.depalma2@unibo.it organization: Alma Mater Studiorum - Università di Bologna, Italy – sequence: 2 givenname: Saverio orcidid: 0000-0002-3658-6395 surname: Giallorenzo fullname: Giallorenzo, Saverio email: saverio.giallorenzo2@unibo.it organization: Alma Mater Studiorum - Università di Bologna, Italy – sequence: 3 givenname: Alexandre orcidid: 0000-0001-9974-4912 surname: Heideker fullname: Heideker, Alexandre email: alexandre.heideker@unibo.it organization: Alma Mater Studiorum - Università di Bologna, Italy – sequence: 4 givenname: Matteo orcidid: 0000-0003-3305-2758 surname: Trentin fullname: Trentin, Matteo email: matteo.trentin2@unibo.it organization: Alma Mater Studiorum - Università di Bologna, Italy – sequence: 5 givenname: Angelo orcidid: 0000-0002-0552-2444 surname: Trotta fullname: Trotta, Angelo email: angelo.trotta5@unibo.it organization: Alma Mater Studiorum - Università di Bologna, Italy – sequence: 6 givenname: Gianluigi orcidid: 0000-0003-3313-6409 surname: Zavattaro fullname: Zavattaro, Gianluigi email: gianluigi.zavattaro@unibo.it organization: Alma Mater Studiorum - Università di Bologna, Italy |
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| Keywords | 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 |
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