Analyzing Energy-Efficient and Kubernetes-Based Autoscaling of Microservices Using Probabilistic Model Checking
Microservices are widely used to enable agility and scalability in modern software systems, while cloud computing offers cost-effective ways to provision computing resources on demand. However, ensuring the correctness of scaling decisions and their impact on energy consumption is a challenging prob...
Published in: | Journal of Grid Computing |
---|---|
Main Author: | Agos Jawaddi S.N.; Ismail A.; Sulaiman M.S.; Cardellini V. |
Format: | Article |
Language: | English |
Published: |
Springer Science and Business Media B.V.
2025
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213696655&doi=10.1007%2fs10723-024-09789-9&partnerID=40&md5=2351a5b1f5d24e45730f45c2899e134e |
Similar Items
-
Analyzing Energy-Efficient and Kubernetes-Based Autoscaling of Microservices Using Probabilistic Model Checking
by: Agos Jawaddi, et al.
Published: (2025) -
Application of Computational Model Based Probabilistic Neural Network for Surface Water Quality Prediction
by: 2-s2.0-85141886143
Published: (2022) -
Exploring the Factors behind Renewable Energy Consumption in Indonesia: Analyzing the Impact of Corruption and Innovation using ARDL Model
by: 2-s2.0-85172010876
Published: (2023) -
Saving utility costs optimization in generator operation planning based on scalable alternatives of probabilistic demand-side management
by: Mohammed, et al.
Published: (2025) -
Analyzing the Effectiveness of Wi-Fi 6E in Mitigating Interference in Industrial Environment
by: Rawi R.; Isa M.R.M.; Ismail M.N.; Abidin M.Z.A.Z.; Sajak A.A.B.; Allias N.; Aziz N.F.A.; Kamarudin N.D.
Published: (2024)