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Information Systems EngineeringCloud Services

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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

Publications

S. Müller and D. Bermbach and S. Tai and F. Pallas (2014). Benchmarking the Performance Impact of Transport Layer Security in Cloud Database Systems. Proceedings of the 2nd International Conference on Cloud Engineering (IC2E)

Link zur Publikation

F. Pallas (2014). An Agency Perspective to Cloud Computing. 11th International Conference on Economics of Grids, Clouds, Systems, and Services – GECON 2014. Springer International Publishing, 36–51.

Link zur Publikation

S. Müller and F. Pallas and S. Balaban (2015). On the Security of Public Cloud Storage. 10th Future Security Conference 2015 (Future Security 2015). Fraunhofer.

Link zur Publikation

C. Wagner and A. Hudic and S. Maksuti and M. Tauber and F. Pallas (2015). Impact of Critical Infrastructure Requirements on Service Migration Guidelines to the Cloud. 3rd International Conference on Future Internet of Things and Cloud (FiCloud), 1-8.

Link zur Publikation

M.-R. Ulbricht and F. Pallas (2016). CoMaFeDS - Consent Management for Federated Data Sources. IEEE 2nd Workshop on Legal and Technical Issues in Cloud Computing and Cloud-Supported Internet of Things (CLaw 2016), held in conjunction with IEEE IC2E

Link zur Publikation

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