TU Berlin

Information Systems EngineeringCloud Services

Inhalt des Dokuments

zur Navigation

Cloud Services

The advent of cloud computing has disruptively changed the way modern applications are developed and operated. Cloud computing is a model that gives cloud users convenient, on-demand network access to a configurable pool of virtualized computing resources offered by a cloud provider. The provisioning and release of capabilities and compute resources occurs rapidly, with minimal management effort and interaction with the provider.

In ISE, we investigate novel cloud technologies, including, but not limited to, new light-weight virtualization approaches for compute resources, e.g., Linux containers, cluster management frameworks, e.g., Kubernetes, Mesos, and new infrastructure management abstractions, e.g., serverless infrastructure provided by services like AWS Lamda or Google Cloud Functions.

Further, we investigate the application of such cutting-edge cloud technologies in different real-world application scenarios, including future energy networks and Internet-of-Things (IoT) scenarios. We identify re-occurring problems in cloud-based application engineering and management and provide proven solutions to address these problems. In particular, we are interested in the quantification of complex cloud service qualities, e.g., consistency, resilience and elasticity, to support engineering and management tasks such as cloud service benchmarking, capacity management, and configuration management.

Microservice architectures provide a conceptual framework for organizations to utilize cloud technologies. In combination with DevOps best practices and workflows such architectures promise to enable IT-centric organizations to improve agility and continuously enhance their business capabilities. The emerging style of "serverless" architectures allows to deliver autonomous applications ("NoOps") and can be viewed as a subform of microservice architecture that speeds up application development and reduces cost of development and operations even more.

Finally, job market trends show an increasing demand for full-stack engineers (full-stack developers), i.e., versatile generalists who are familiar with a range of technologies, such as JavaScript frameworks for cross-platform front-end development (Angular 2, React, React Native, Electron), modern back-end languages and environments (Node.js, Go, Rust), a wide range of distributed system technologies (e.g., NoSQL databases, such as Cassandra, MongoDB, Redis, Riak, HBase, etc.), as well as cloud services and platforms (AWS, Google Cloud Platform, Microsoft Azure). In ISE, we consider cross-stack technology experience to be essential for designing, building, and successfully operating full-stack applications ("you build it, you run it"). Thanks to the abundance of open source web technologies and cloud services, small teams of industrious individuals can quickly develop and operate complex Software-as-a-Service applications.

Related Projects


D. Bermbach and S. Mueller and J. Eberhardt and S. Tai (2015). Informed Schema Design for Column Store-based Database Services. Proceedings of the 8th IEEE International Conference on Service Oriented Computing & Applications (SOCA 2015). IEEE.

Link zur Publikation

D. Bermbach (2015). Messbarkeit und Beeinflussung von Eventual-Consistency in verteilten Datenspeichersystemen. Ausgezeichnete Informatikdissertationen 2014. GI.

Link zur Publikation

D. Bermbach and S. Tai (2014). Benchmarking Eventual Consistency: Lessons Learned from Long-Term Experimental Studies. Proceedings of the 2nd International Conference on Cloud Engineering (IC2E)

Link zur Publikation

D. Bermbach and L. Zhao and S. Sakr (2014). Towards Comprehensive Measurement of Consistency Guarantees for Cloud-Hosted Data Storage Services. Performance Characterization and Benchmarking. Springer International Publishing, 32-47.

Link zur Publikation

D. Bermbach and J. Kuhlenkamp and A. Dey and S. Sakr and R. Nambiar (2014). Towards an extensible middleware for database benchmarking. Technology Conference on Performance Evaluation and Benchmarking, 82–96.

Link zur Publikation



Schnellnavigation zur Seite über Nummerneingabe