ML-driven classification scheme for dynamic interference-aware resource scheduling in cloud infrastructures

Author:

Meyer ViníciusORCID,Kirchoff Dionatrã F.,Da Silva Matheus L.,De Rose Cesar A.F.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Hardware and Architecture,Software

Reference59 articles.

1. Resource scheduling algorithm with load balancing for cloud service provisioning;Priya;Appl. Soft Comput.,2019

2. Detecting performance interference in cloud-based web services;Amannejad,2015

3. Pipel: Exploiting resource reorganization to optimize performance of pipeline-structured applications in the cloud;Meyer;Int. J. Comput. Syst. Eng.,2019

4. IntMA: Dynamic Interaction-aware resource allocation for containerized microservices in cloud environments;Joseph;J. Syst. Archit.,2020

5. Analysis of energy consumption model in cloud computing environments;Zhou,2019

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