The Distributed Systems (DSY) research group of the InIT 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.
Serverless data analytics and data-centric consensus for sensed data in public transport
Public transport in Switzerland and in Latin America is organised differently and operated with different levels of reliability, innovation priorities, and acceptance of digital support solutions by passengers. The common element is that in both regions, operators struggle with optimising the offered services to ...
Dark Energy: Accurate estimation and awareness of cloud-induced power consumption
Phones and notebooks do not require much power? Wrong, most usage patterns involve the heavy use of cloud services. In contrast to device consumption, the extent of this indirect consumption is unknown to users. This project delivers a tool to trace cloud use and convey a CO2 equivalent to the user. ...
Cloud Open Source Research Mobility Network (CLOUDSTARS)
CloudStars presents a joint research programme in the fields of Cloud computing and AI technologies. CloudStars pursues innovation in the Cloud infrastructures to support the next generation of low-latency, high-performance complex workloads. CloudStars also pursues high innovation in the Cloud, making the best ...
Future Internet Assembly 2013, Dublin, Ireland, 8-10 May 2013.
Edmonds, Andrew; Bohnert, Thomas Michael; Marti, Christof,
Second National Conference on Cloud Computing and Commerce, Dublin, Ireland, 16 April 2013.
Edmonds, Andrew; Bohnert, Thomas Michael; Marti, Christof; Zehnder, Thomas; Graf, Lukas; Aeschlimann, Philipp,
Datacenter Dynamics Converged, Zürich, 24 April 2013.
Kunszt, Peter; Maffioletti, Sergio; Flanders, Dean; Eurich, Markus; Schiller, Eryk; Bohnert, Thomas Michael; Edmonds, Andy; Stockinger, Heinz; Jamakovic-Kapic, Almerima; Haug, Sigve; Flury, Placi; Leinen, Simon,
Euro-Par 2013: Parallel Processing Workshops, Aachen, Germany, 26-27 August 2013.
Lecture Notes in Computer Science ; 8374.
Available from: https://doi.org/10.1007/978-3-642-54420-0_16
Zimmerli, Frank; Rigley, Vanessa; Senti, Patrik; Gilardi, Simona; Baudinot, Gerold; Stublia, Daniel; Crowther, Adam,