The Distributed Systems (DSY) research group focuses on scalable and reliable implementation of sophisticated IT-based services. We address questions such as:
- What architecture best suits your specific cloud application?
- Which service model (IaaS, CaaS, PaaS, FaaS, ...) ensures optimal implementation of an application?
- Which tools are needed for development, operation and monitoring of the services?
- How to offer applications "as a service" (SaaS)?
- How to monetize modern IT services?
- How to integrate the "physical world" into complex IT services?
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:
The Init Cloud Computing Lab (ICCLAB) is dedicated to the automated deployment, operation and usage of configurable, highly scalable and resilient IT resources on a pay-per-use basis. In addition to infrastructure virtualization, this includes platform services for automated application delivery, scalable back-end, and monitoring of services and applications.
The Service Prototyping Lab (SPLAB) 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).
The Init Cloud Comupting Lab (ICCLAB) also addresses the integration of robotic applications into complex networked services. The usage of elastic cloud services allows to extend the capabilities of robots (computing power, context information, artificial intelligence, ...) as well as to manage and coordinate them. Programming frameworks and automation services enable developers to integrate robots into services without having in-depth knowledge at device level.
Fog-Cloud Continuum Framework for Near-Data Computing
Marketing insights from open/public data
The company's platform leverages public open data sources for marketing campaign optimisation. The effectiveness of such a campaign depends crucially on external factors such as political opinion, weather, surrounding demographics and even district-level trends. Research questions are: How can data sources be ...
Smart policy-driven scanning of Docker images
Docker has become the de-facto standard for containerised application delivery. Hundreds of companies in Switzerland develop, deploy and operate Docker-packaged software regularly, often involving publicly available Docker images produced by third parties. For banks, insurances and other companies with high ...
Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, eds.,
Applied data science : lessons learned for the data-driven business.
Available from: https://doi.org/10.1007/978-3-030-11821-1_4
Zhou, Yu; Yan, Xin; Chen, Taolue; Panichella, Sebastiano; Gall, Harald,
ICSE '19 proceedings of the 41st international conference on software engineering : companion proceedings.
International Conference on Software Engineering (ICSE 2019), Montreal, Canada, 25-31 May 2019.
Available from: https://doi.org/10.21256/zhaw-3220
Di Sorbo, Andrea; Panichella, Sebastiano; Visaggio, Corrado Aaron; Di Penta, Massimiliano; Canfora, Gerardo; Gall, Harald C.,
IEEE Transactions on Software Engineering.
Available from: https://doi.org/10.1109/TSE.2019.2930519
2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID).
CCGrid 2019, Nicosia, Cyprus, 14-17 May 2019.
Available from: https://doi.org/10.1109/CCGRID.2019.00087
Panichella, Sebastiano; Palomba, Fabio; Lorenz, David; Nagappan, Meiyappan,
Empirical Software Engineering.
24(6), pp. 3249-3254.
Available from: https://doi.org/10.1007/s10664-019-09776-9