Claes Edstrom

According to our database1, Claes Edstrom authored at least 14 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
Multivariate outlier filtering for A-NFVLearn: an advanced deep VNF resource usage forecasting technique.
J. Supercomput., September, 2023

NFVLearn: A multi-resource, long short-term memory-based virtual network function resource usage prediction architecture.
Softw. Pract. Exp., March, 2023

VALKYRIE: a suite of topology-aware clustering approaches for cloud-based virtual network services.
J. Supercomput., 2023

2022
RAFALE: Rethinking the provisioning of virtuAl network services using a Fast and scAlable machine LEarning approach.
J. Supercomput., 2022

DAVINCI: online and Dynamic Adaptation of eVolvable vIrtual Network services over Cloud Infrastructures.
Future Gener. Comput. Syst., 2022

SLO-aware dynamic self-adaptation of resources.
Future Gener. Comput. Syst., 2022

2021
Generic SDE and GA-based workload modeling for cloud systems.
J. Cloud Comput., 2021

2020
MuSC: A multi-stage service chains embedding approach.
J. Netw. Comput. Appl., 2020

Detection of time series patterns and periodicity of cloud computing workloads.
Future Gener. Comput. Syst., 2020

Abnormal behavior detection using resource level to service level metrics mapping in virtualized systems.
Future Gener. Comput. Syst., 2020

Cheetah: A fast unsupervised learning technique to provision next generation network services.
Proceedings of the 6th International Workshop on Container Technologies and Container Clouds, 2020

2019
MAPLE: A <i>M</i>achine <i>L</i>earning Approach for <i>E</i>fficient <i>P</i>lacement and <i>A</i>djustment of Virtual Network Functions.
J. Netw. Comput. Appl., 2019

FASTSCALE: A fast and scalable evolutionary algorithm for the joint placement and chaining of virtualized services.
J. Netw. Comput. Appl., 2019

Resource needs prediction in virtualized systems: Generic proactive and self-adaptive solution.
J. Netw. Comput. Appl., 2019


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