Marcelo Amaral, Tatsuhiro Chiba, et al.
CLOUD 2022
In an enterprise-grade hybrid-multicloud computing environment, capability-providing as-A-service endpoints (or aaS-endpoints) can be deployed across diverse computing platforms, e.g., public clouds and on-prem enterprise private clouds. To ensure a seamless, unified, and enterprise-compliant acquisition of the capabilities by client applications, the presence of a cross-cloud API mediation service is crucial. However, as the number and heterogeneity of aaS-endpoints increase, delivering the API mediation service at scale becomes increasingly costly. This paper presents a robust approach to API service mediation in enterprise-grade hybrid-multicloud computing environments. It tackles the challenges, offering a distributed architecture comprising dynamically composed managed microservices, microservice zones, intelligent endpoint selection, and adaptive statistical learning (aiming to exploit localities in performance history of aaS-endpoint invocations and to facilitate adding or removing active aaS-endpoints). The successful reference implementation and 24 7 365 delivery in real-world settings of the approach validate its efficacy as a practical solution for API service mediation.
Marcelo Amaral, Tatsuhiro Chiba, et al.
CLOUD 2022
Pranjal Gupta, Karan Bhukar, et al.
ICPE 2025
Abhishek Malvankar, Olivier Tardieu
KubeCon EU 2024
Gosia Lazuka, Andreea Simona Anghel, et al.
CLOUD 2023