Peter-Christian Quint

Technical University of Applied Sciences Lübeck · Department of Electrical Engineering and Computer Science

The project CloudTRANSIT dealt with the question of how to transfer cloud applications and services at runtime without downtime across cloud infrastructures from different public and private cloud service providers. This technical report summarizes the outcomes of approximately 20 research papers that have been published throughout the project. Thi...

Cloud-native applications are intentionally designed for the cloud in order to leverage cloud platform features like horizontal scaling and elasticity-benefits coming along with cloud platforms. In addition to classical (and very often static) multi-tier deployment scenarios, cloud-native applications are typically operated on much more complex but...

The project CloudTRANSIT dealt with the question how to transfer cloud applications and services at runtime without downtime across cloud infrastructures from different public and private cloud service providers. This technical report summarizes the outcomes of more than 20 research papers and reports that have been published throughout the course...

Cloud-native applications are intentionally designed for the cloud in order to leverage cloud platform features like horizontal scaling and elasticity - benefits coming along with cloud platforms. In addition to classical (and very often static) multi-tier deployment scenarios, cloud-native applications are typically operated on much more complex b...

Elastic container platforms (ECP) like Docker Swarm, Kubernetes (k8s) and Apache Mesos have gotten more and more attention by practitioners in recent years [1]. Elastic container platforms fit very well with existing cloud-native application (CNA) architecture approaches [6]. Corresponding system designs often follow a microservice-based architectu...

Due to REST-based protocols, microservice architectures are inherently horizontally scalable. That might be why the microservice architectural style is getting more and more attention for cloud-native application engineering. Corresponding microservice architectures often rely on a complex technology stack which includes containers, elastic platfor...

Cloud computing enables companies getting computational and storage resources on demand. Especially when using features like elasticity and scaling, cloud computing can be a very powerful technology to run, e.g., a webservice without worries about failure by overload or wasting money by paid use of unneeded resources. For using these features, deve...

It is common sense that cloud-native applications (CNA) are intentionally designed for the cloud. Although this understanding can be broadly used it does not guide and explain what a cloud-native application exactly is. The term "cloud-native" was used quite frequently in birthday times of cloud computing (2006) which seems somehow obvious nowadays...

Cloud computing enables to deliver innovative services very agile and at world-scale. Even very small companies with access on first class cloud engineering knowledge can create exponential business growth. Companies like Instagram or Netflix proofed that impressively. But, operating cloud-native applications is extremely challenging and overburden...

Companies like Netflix, Google, Amazon, Twitter successfully exemplified elastic and scalable microservice architectures for very large systems. Microservice architectures are often realized in a way to deploy services as containers on container clusters. Containerized microservices often use lightweight and REST-based mechanisms. However, this lig...

Container clusters have an inherent complexity. A distributed container application in the cloud can be complex at planning, installation and configuration, maintenance and search for failures. Small and medium enterprises (SMEs) are mostly limited by their personnel and financial restrictions. Using advanced cloud technologies like a container clu...

In previous work, we concluded that container technologies and overlay networks typically have negative performance impacts, mainly due to an additional layer to networking. This is what everybody would expect, only the degree of impact might be questionable. These negative performance impacts can be accepted (if they stay moderate), due to a bette...

Cloud service selection can be a complex and challenging task for a cloud engineer. Most current approaches try to identify a best cloud service provider by evaluating several relevant criteria like prices, processing, memory, disk, network performance, quality of service and so on. Nevertheless, the decision making problem involves so many variabl...