Improving microservice-based applications with runtime placement adaptation
Abstract Microservices are a popular method to design scalable cloud-based applications. Microservice-based applications (μApps) rely on message passing for communication and to decouple each microservice, allowing the logic in each service to scale independently. Complex μApps can contain hundreds...
Main Authors: | Adalberto R. Sampaio, Julia Rubin, Ivan Beschastnikh, Nelson S. Rosa |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2019-02-01
|
Series: | Journal of Internet Services and Applications |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13174-019-0104-0 |
Similar Items
-
Microservices and Machine Learning Algorithms for Adaptive Green Buildings
by: Diego Rodríguez-Gracia, et al.
Published: (2019-08-01) -
Verifying Design Properties at Runtime Using an MDE-Based Approach Models @Run.Time Verification-Application to Autonomous Connected Vehicles
by: Loulou, Hassan
Published: (2017) -
Optimizing Service Placement for Microservice Architecture in Clouds
by: Yang Hu, et al.
Published: (2019-11-01) -
A Runtime Framework for Adaptive Compositional Modeling
by: Heffner, Michael Alan
Published: (2011) -
Systematic Approach for Generation of Feasible Deployment Alternatives for Microservices
by: Isil Karabey Aksakalli, et al.
Published: (2021-01-01)