[Zurück]

A. Noor, D. Jha, K. Mitra, P. Jayaraman, A. Souza, R. Ranjan, S. Dustdar:
"A framework for monitoring microservice-oriented cloud applications in heterogeneous virtualization environments";
Vortrag: IEEE 12th International Conference on Cloud Computing (IEEE CLOUD 2019) part of the 2019 IEEE World Congress on Services, Milan, Italy; 08.07.2019 - 13.07.2019; in: "Proceedings of the IEEE 12th International Conference on Cloud Computing (IEEE CLOUD 2019) part of the 2019 IEEE World Congress on Services", E. Bertino, C. Chang, P. Chen, E. Damiani, M. Goul, K. Oyama (Hrg.); IEEE, (2019), ISBN: 978-1-7281-2706-4; S. 156 - 163.

Microservices have emerged as a new approach for developing and deploying cloud applications that require higher levels of agility, scale, and reliability. To this end, a microservice-based cloud application architecture advocates decomposition of monolithic application components into independent software components called "microservices". As the independent microservices can be developed, deployed, and updated independently of each other, it leads to complex run-time performance monitoring and management challenges. To solve this problem, we propose a generic monitoring framework, Multi-microservices Multi-virtualization Multi-cloud (M3) that monitors the performance of microservices deployed across heterogeneous virtualization platforms in a multi-cloud environment. We validated the efficacy and efficiency of M3 using a Book-Shop application executing across AWS and Azure.

microservices; monitoring; container; VM; cloud computing

http://dx.doi.org/10.1109/CLOUD.2019.00035