Application Optimisation: Workload Prediction and Autonomous Autoscaling of Distributed Cloud Applications

Östberg, Per-Olov; Duc, Thang Le; Casari, Paolo; Leiva, Rafael García; Anta, Antonio Fernández; Domaschka, Jörg

doi:10.1007/978-3-030-39863-7_3

Palgrave Studies in Digital Business &Amp; Enabling Technologies

2020

DOI: 10.1007/978-3-030-39863-7_3

|View full text |Cite

Application Optimisation: Workload Prediction and Autonomous Autoscaling of Distributed Cloud Applications

Per-Olov Östberg

Thang Le Duc²,

Paolo Casari

et al.

Abstract: Optimisation of (the configuration and deployment of) distributed cloud applications is a complex problem that requires understanding factors such as infrastructure and application topologies, workload arrival and propagation patterns, and the predictability and variations of user

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Publication Types

Select...

Relationship

Self Cite0

Independent0

Authors

Journals

Cited by 0 publications

References 4 publications

(5 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

No citations

Set email alert for when this publication receives citations?

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Application Optimisation: Workload Prediction and Autonomous Autoscaling of Distributed Cloud Applications

Abstract: Optimisation of (the configuration and deployment of) distributed cloud applications is a complex problem that requires understanding factors such as infrastructure and application topologies, workload arrival and propagation patterns, and the predictability and variations of user

Cited by 0 publications

References 4 publications

No citations

Contact Info

Product

Resources

About