Distributed Systems
Distributed Systems
The Distributed Systems (DSY) research group of the InIT focuses on scalable and reliable implementation of Distributed Systems across various areas (Internet, Cloud, Robotics, Enterprises, etc) with a Cloud-Native/-First approach. We address questions such as:
- How to build, run, and evaluate a performant (System/Energy/Financial) Cloud-Infrastructure (Network, Storage, Compute)
- What architecture best suits your specific cloud-native application?
- Which service model (IaaS, CaaS, PaaS, FaaS, ...) ensures optimal implementation of an application?
- Which tools are needed for development, operation and monitoring cloud-native services and applications?
- How to offer applications "as a service" (SaaS/PaaS/FaaS)?
- How to monetize modern IT “as a service”?
- How to ensure Site Reliability from a provider and consumer perspective?
- How to integrate the "physical world" into complex IT services?
- How to exploit Cloud Computing for specific application domains, like automation via Robots, the Health domain (Hospitals, Day Care, Assisted Living), or the domain of Environmental Computer Science (Farming, Live Stock, Forest Management)
The research group is engaged in international projects within the EU research framework and works closely with partners from the private sector on innovative products within Innosuisse funded or directly financed projects.
The knowledge gained from applied research and development is transferred to students of computer science courses in the following modules:
- Operating Systems (Linux/Unix)
- Distributed Systems
- Cloud Computing 1 (Cloud Concepts und Infrastructure)
- Cloud Computing 2 (Cloud Platforms and Applications)
- Serverless and Cloud Application Development
- Robotic Applications Programming
- Applied Cloud Computing for Medical Applications
- System Performance Evaluation (Coming Autumn 2026)
- Cloud Computing (Master)
- System Performance Evaluation (Master/EVA)
Cloud Computing
Contact:
Prof-Dr. Thomas M. Bohnert (Infrastructure/Virtualization/Performance)
Ing Christof Marti (Platform Engineering and Cloud Native Applications and Operation
This research area is dedicated to automated deployment, operation and usage of configurable, highly scalable and resilient IT resources (compute/network/storage) on a on-demand and pay-per-use basis.
Highly performant infrastructures, virtualization, and respective operational concerns is on research domain.
Beyond infrastructure virtualization, this includes platform services for automated application delivery, scalable back-end, and monitoring of services and applications.
See also our no longer maintained Blog of the Init Cloud Computing Lab (ICCLAB)
Cyber-Physical Systems and Applications
Contact: Dr. habil. Josef Spillner
Research in this area addresses the implementation and validation of complex services in cloud or post-cloud environments. In addition to the migration of existing services to the cloud, the main focus is on modern application architectures (Cloud Native Applications, Microservices, Serverless), the provisioning of tools for optimal implementation, the experimental validation of concepts and their monetization (Cloud Accounting and Billing).
This area evolved from the no longer maintained Service Prototyping Lab (SPLAB)
Distributed Systems for Robotics
Contact: Dr. Giovanni Toffetti
Our research group also addresses the application of distributed systems for the implementation of robotic applications. Primarily building on the ROS middleware, which we teach in the Robotic Applications Programming course, we address the development of autonomous robot applications catering for high-level robot functionality (e.g., mapping, navigation, perception, manipulation, deliberation, agents) with a focus on distributed systems (e.g., agentic AI, MCP, cloud/edge/fog robotics, multi-agents, multi-robot, simulation, fleet-management, integration with AI services, robot-specific networking and storage).
The usage of distributed systems allows to extend the capabilities of robots (computing power, context information, artificial intelligence, ...) as well as to manage and coordinate them. Programming frameworks like ROS and automation services enable developers to integrate robots into services without having in-depth knowledge at device level.
An updated sample of our work is available here.
Distributed Systems
Contact: Dr. Leonardo Militano
Our research area on general Distributed Systems investigates the design and deployment of hyper-distributed applications spanning the cloud-to-edge compute continuum. Building on modern distributed system technologies and frameworks, we address the development of applications that leverage heterogeneous computing resources—ranging from centralized cloud data centers to edge devices and micro-data centers—with a focus on orchestration, monitoring, deployment, and resource management.
We study methods for dynamic scaling, fault tolerance, service coordination, and efficient data placement, enabling applications to operate reliably and efficiently across highly distributed infrastructures.
Unfortunately, no list of projects can be displayed here at the moment. Until the list is available again, the project search on the ZHAW homepage can be used.
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2020.
In:
Middleware '20 Demos and Posters.
21st International Middleware Conference, Delft, Netherlands (online), 7-11 December 2020.
Association for Computing Machinery.
pp. 1-2.
Available from: https://doi.org/10.1145/3429358.3429370
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2020.
Resource management for cloud functions with memory tracing, profiling and autotuning[paper].
In:
Proceedings of the 2020 Sixth International Workshop on Serverless Computing.
21th International Middleware Conference, Delft, Netherlands (online), 7-11 December 2020.
Association for Computing Machinery.
pp. 13-18.
Available from: https://doi.org/10.1145/3429880.3430094
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Spillner, Josef; López, Manuel Ramírez,
2020.
Transactional migration of inhomogeneous composite cloud applications[paper].
In:
Advances in Service-Oriented and Cloud Computing.
7th European Conference on Service Oriented and Cloud Computing (ESOCC), Como, Italy, 12-14 September 2018.
Cham:
Springer.
pp. 34-45.
Communications in Computer and Information Science ; 1115.
Available from: https://doi.org/10.1007/978-3-030-63161-1_3
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2020.
Comparison and model of compression techniques for smart cloud log file handling[paper].
In:
2020 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI).
International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI), Sharjah, UAE (online), 3-5 November 2020.
IEEE.
pp. 1-6.
Available from: https://doi.org/10.1109/CCCI49893.2020.9256609
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Qasse, Ilham Ahmed; Spillner, Josef; Abu Talib, Manar; Nasir, Qassim,
2020.
A study on ĐApps characteristics[paper].
In:
2020 IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS).
IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS), Oxford, UK (online), 3-6 August 2020.
IEEE.
pp. 88-93.
Available from: https://doi.org/10.1109/DAPPS49028.2020.00010