TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Kehrer, Stefan
A1  - Riebandt, Florian
A1  - Blochinger, Wolfgang
ED  - Shi, Dianxi
T1  - Container-based module isolation for cloud services
T2  - 13th IEEE International Conference on Service-Oriented System Engineering ; 10th International Workshop on Joint Cloud Computing ; 2019 IEEE International Workshop on Cloud Computing in Robotic Systems : 4-9 April 2019, San Francisco East Bay, California : proceedings
N2  - Due to frequently changing requirements, the internal structure of cloud services is highly dynamic. To ensure flexibility, adaptability, and maintainability for dynamically evolving services, modular software development has become the dominating paradigm. By following this approach, services can be rapidly constructed by composing existing, newly developed and publicly available third-party modules. However, newly added modules might be unstable, resource-intensive, or untrustworthy. Thus, satisfying non-functional requirements such as reliability, efficiency, and security while ensuring rapid release cycles is a challenging task. In this paper, we discuss how to tackle these issues by employing container virtualization to isolate modules from each other according to a specification of isolation constraints. We satisfy non-functional requirements for cloud services by automatically transforming the modules comprised into a container-based system. To deal with the increased overhead that is caused by isolating modules from each other, we calculate the minimum set of containers required to satisfy the isolation constraints specified. Moreover, we present and report on a prototypical transformation pipeline that automatically transforms cloud services developed based on the Java Platform Module System into container-based systems.
KW  - continuous delivery
KW  - DevOps
KW  - non-functional requirements
KW  - container virtualization
KW  - deployment automation
Y1  - 2019
U6  - https://doi.org/10.1109/SOSE.2019.00032
DO  - https://doi.org/10.1109/SOSE.2019.00032
SP  - 177
EP  - 186
S1  - 10
PB  - IEEE
CY  - Piscataway, NJ
ER  -