Information Systems Engineering

Cloud Services

The cloud is the backbone of modern applications, supporting everything from basic word processing to cutting-edge AI image generation and seamless video streaming to millions of devices worldwide. Cloud computing is a model that provides convenient, on-demand network access to almost limitless virtualized computing resources and a vast set of platform service offerings. By using the cloud, businesses, regardless of size, can effortlessly create elastic and scalable applications with minimal hassle.

At ISE, we're at the forefront of shaping the next generation of cloud computing. 
Our research spans a broad spectrum of cloud topics, including novel serverless computing platforms, microservice orchestration and observability frameworks, no-ops application platforms, blockchain integration, deployment in the cloud-edge continuum, and federated data-sharing ecosystems. We apply and validate these topics in real-world application domains, including future energy networkscarbon accounting, financial services, automotive supply chains and mobility scenarios.

We identify recurring problems in cloud-based application engineering and management and provide proven solutions to address these problems. In particular, we are interested in quantifying complex cloud service qualities, e.g., consistency, resilience, scalability, elasticity, privacy and transparency compliance, trustworthiness, and energy awareness. Specifically, we aim to support engineering and management tasks through cloud service benchmarking, cloud migration, capacity management, cost optimization, configuration and policy management and application platform co-design. Here, we strive to keep the entire development lifecycle manageable, observable and debuggable despite the pressures of agile rollout cycles.

In both our teaching and research, we emphasize staying cloud tech stack-agnostic. We're committed to integrating both emerging approaches and to continuously evaluate proven standards and solutions. Our goal is to equip students with the skills to work across any cloud platform, empowering them to navigate the evolving complexity of modern microservice-based applications and landscapes.

Related Projects

The following projects, that focus on cloud services, have already been completed and can be found in the archive on our project site.

  • Smile
  • PolyEnergyNet

Related Publications


Werner, Sebastian; Schirmer, Trever
Hardless: A Generalized Serverless Compute Architecture for Hardware Processing Accelerators
2022 IEEE International Conference on Cloud Engineering (IC2E)
Publisher: IEEE Computer Society
Kuhlenkamp, Jörn; Werner, Sebastian; Tran, Chin Hong; Tai, Stefan
Synthesizing Configuration Tactics for Exercising Hidden Options in Serverless Systems
Intelligent Information Systems, Page 36–44
Publisher: Springer International Publishing, Cham


Werner, Sebastian; Tai, Stefan
Application-Platform Co-design for Serverless Data Processing
In Hacid, Hakim and Kao, Odej and Mecella, Massimo and Moha, Naouel and Paik, Hye-Young, Editor, Service-Oriented Computing, 19th International Conference on Service-Oriented Computing, Page 627–640
In Hacid, Hakim and Kao, Odej and Mecella, Massimo and Moha, Naouel and Paik, Hye-Young, Editor
Publisher: Springer International Publishing, Cham
Peise, Marco; Kuhlenkamp, Jörn; Busse, Anselm; Eberhardt, Jacob; Ulbricht, Max-R.; Tai, Stefan; Baus, Jörg; Kassebaum, Martin; Zörner, Thorsten
Blockchain-based Local Energy Grids: Advanced Use Cases and Architectural Considerations
2021 IEEE 18th International Conference on Software Architecture Companion (ICSA-C)fromIcsa'21, Page 130-137
Publisher: IEEE
Borges, Maria C.; Werner, Sebastian; Kilic, Ahmet
FaaSter Troubleshooting – Evaluating Distributed Tracing Approaches for Serverless Applications
2021 IEEE International Conference on Cloud Engineering (IC2E)
Publisher: IEEE Computer Society
Ernst, Dominik; Tai, Stefan
Offline Trace Generation for Microservice Observability
, 13th Workshop on Service oriented Enterprise Architecture for Enterprise Engineering (SoEA4EE) 2021VolumeIEEE 25th International Enterprise Distributed Object Computing Workshop (EDOCW)
Grünewald, Elias; Wille, Paul; Pallas, Frank; Borges, Maria C.; Ulbricht, Max-R.
TIRA: An OpenAPI Extension and Toolbox for GDPR Transparency in RESTful Architectures
2021 IEEE European Symposium on Security and Privacy Workshops (EuroS\&PW)
Publisher: IEEE Computer Society


Pallas, Frank; Staufer, Dimitri; Kuhlenkamp, Jörn
Evaluating the Accuracy of Cloud NLP Services Using Ground-Truth Experiments
2020 IEEE International Conference on Big Data (Big Data)
Publisher: IEEE
December 2020
Werner, Sebastian; Kuhlenkamp, Jörn; Pallas, Frank; Anders, Niklas; Mucaj, Nebi; Tsaplina, Olesia; Schmidt, Christian; Yildirim, Kann
Diminuendo! Tactics in Support of FaaS Migrations
In Paasivaara, Maria and Kruchten, Philippe, Editor, Agile Processes in Software Engineering and Extreme Programming – Workshops, Page 125–132
In Paasivaara, Maria and Kruchten, Philippe, Editor
Publisher: Springer International Publishing
September 2020
Kuhlenkamp, Jörn; Werner, Sebastian; Borges, Maria C.; Ernst, Dominik
All but One: FaaS Platform Elasticity Revisited
SIGAPP Appl. Comput. Rev., 20 (3) :5–19
September 2020
Publisher: Association for Computing Machinery
ISSN: 1559-6915