48 citations · 296 across the 45 of their papers we have counts for
50 papers
True 3D Holography: A Communication Service of Tomorrow and Its Requirements for a New Converged Cloud and Network Architecture on the Path to 6G
Ingo Friese, Mandy Galkow-Schneider, Louay Bassbouss +17
Research project 6G NeXt is considering true 3D holography as a use case, setting requirements on the communication as well as the computing infrastructure. In a future holographic…
6G NeXt - Towards 6G Split Computing Network Applications: Use Cases and Architecture
Sergiy Melnyk, Qiuheng Zhou, Hans D. Schotten +17
The definition of the sixth generation mobile communication is in the full swing. Mobile communication aims for the convergence of physical, human and digital world. Research proje…
New Kids: An Architecture and Performance Investigation of Second-Generation Serverless Platforms
Trever Schirmer, Aris Wiegand, Lucca di Benedetto +4
With the ever-increasing usage of serverless computing in both industry and academia, it is essential to understand the mechanisms that power the underlying platforms. As serverles…
Serverless Abstractions for Short-Running, Lightweight Streams
Natalie Carl, Niklas Kowallik, Constantin Stahl +3
Serverless computing and stream processing represent two dominant paradigms for event-driven data processing, yet both make assumptions that render them inefficient for short-runni…
Towards Energy-Efficient Serverless Computing with Hardware Isolation
Natalie Carl, Tobias Pfandzelter, David Bermbach
Serverless computing provides just-in-time infrastructure provisioning with rapid elasticity and a finely-grained pricing model. As full control of resource allocation is in the ha…
Multi-Event Triggers for Serverless Computing
Natalie Carl, Trever Schirmer, Niklas Kowallik +4
Function-as-a-Service (FaaS) is an event-driven serverless cloud computing model in which small, stateless functions are invoked in response to events, such as HTTP requests, new d…
Minos: Exploiting Cloud Performance Variation with Function-as-a-Service Instance Selection
Trever Schirmer, Natalie Carl, Nils Höller +2
Serverless Function-as-a-Service (FaaS) is a popular cloud paradigm to quickly and cheaply implement complex applications. Because the function instances cloud providers start to e…
Exploring Influence Factors on LLM Suitability for No-Code Development of End User IoT Applications
Minghe Wang, Alexandra Kapp, Trever Schirmer +2
No-Code Development Platforms (NCDPs) empower non-technical end users to build applications tailored to their specific demands without writing code. While NCDPs lower technical bar…
Trabant: A Serverless Architecture for Multi-Tenant Orbital Edge Computing
Tobias Pfandzelter, Nikita Bauer, Alexander Leis +5
Orbital edge computing reduces the data transmission needs of Earth observation satellites by processing sensor data on-board, allowing near-real-time insights while minimizing dow…
Umbilical Choir: Automated Live Testing for Edge-To-Cloud FaaS Applications
Mohammadreza Malekabbasi, Tobias Pfandzelter, David Bermbach
Application users react negatively to performance regressions or availability issues across software releases. To address this, modern cloud-based applications with their multiple…
LLM4FaaS: No-Code Application Development using LLMs and FaaS
Minghe Wang, Tobias Pfandzelter, Trever Schirmer +1
Large language models (LLMs) show great capabilities in generating code from natural language descriptions, bringing programming power closer to non-technical users. However, their…
Komet: A Serverless Platform for Low-Earth Orbit Edge Services
Tobias Pfandzelter, David Bermbach
Low-Earth orbit satellite networks can provide global broadband Internet access using constellations of thousands of satellites. Integrating edge computing resources in such networ…
Increasing Efficiency and Result Reliability of Continuous Benchmarking for FaaS Applications
Tim C. Rese, Nils Japke, Sebastian Koch +2
In a continuous deployment setting, Function-as-a-Service (FaaS) applications frequently receive updated releases, each of which can cause a performance regression. While continuou…
GeoFaaS: An Edge-to-Cloud FaaS Platform
Mohammadreza Malekabbasi, Tobias Pfandzelter, Trever Schirmer +1
The massive growth of mobile and IoT devices demands geographically distributed computing systems for optimal performance, privacy, and scalability. However, existing edge-to-cloud…
GeoFF: Federated Serverless Workflows with Data Pre-Fetching
Natalie Carl, Trever Schirmer, Tobias Pfandzelter +1
Function-as-a-Service (FaaS) is a popular cloud computing model in which applications are implemented as work flows of multiple independent functions. While cloud providers usually…
ElastiBench: Scalable Continuous Benchmarking on Cloud FaaS Platforms
Trever Schirmer, Tobias Pfandzelter, David Bermbach
Running microbenchmark suites often and early in the development process enables developers to identify performance issues in their application. Microbenchmark suites of complex ap…
Lessons Learned from Building Edge Software System Testbeds
Tobias Pfandzelter, David Bermbach
Edge computing requires the complex software interaction of geo-distributed, heterogeneous components. The growing research and industry interest in edge computing software systems…
FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression
Alireza Furutanpey, Qiyang Zhang, Philipp Raith +3
Nanosatellite constellations equipped with sensors capturing large geographic regions provide unprecedented opportunities for Earth observation. As constellation sizes increase, ne…
Are Unikernels Ready for Serverless on the Edge?
Felix Moebius, Tobias Pfandzelter, David Bermbach
Function-as-a-Service (FaaS) is a promising edge computing execution model but requires secure sandboxing mechanisms to isolate workloads from multiple tenants on constrained infra…
Application-Centric Benchmarking of Distributed FaaS Platforms using BeFaaS
Martin Grambow, Tobias Pfandzelter, David Bermbach
Due to the popularity of the FaaS programming model, there is now a wide variety of commercial and open-source FaaS systems. Hence, for comparison of different FaaS systems and the…
Fusionize++: Improving Serverless Application Performance Using Dynamic Task Inlining and Infrastructure Optimization
Trever Schirmer, Joel Scheuner, Tobias Pfandzelter +1
The Function-as-a-Service (FaaS) execution model increases developer productivity by removing operational concerns such as managing hardware or software runtimes. Developers, howev…
Supporting UAVs with Edge Computing: A Review of Opportunities and Challenges
Malte Janßen, Tobias Pfandzelter, Minghe Wang +1
Over the last years, Unmanned Aerial Vehicles (UAVs) have seen significant advancements in sensor capabilities and computational abilities, allowing for efficient autonomous naviga…
Enoki: Stateful Distributed FaaS from Edge to Cloud
Tobias Pfandzelter, David Bermbach
Function-as-a-Service (FaaS) is a promising paradigm for applications distributed across the edge-cloud continuum. FaaS functions are stateless by nature, leading to high elasticit…
ProFaaStinate: Delaying Serverless Function Calls to Optimize Platform Performance
Trever Schirmer, Natalie Carl, Tobias Pfandzelter +1
Function-as-a-Service (FaaS) enables developers to run serverless applications without managing operational tasks. In current FaaS platforms, both synchronous and asynchronous call…