Toward higher-level abstractions based on state machine for cloud resources elasticity-Reference-Cited by-同舟云学术

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Toward higher-level abstractions based on state machine for cloud resources elasticity

Published:2020-05 Issue: Volume:90 Page:101450
ISSN:0306-4379
Container-title:Information Systems
language:en
Short-container-title:Information Systems

Author:

Brabra Hayet,Mtibaa Achraf,Gaaloul Walid,Benatallah Boualem

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference32 articles.

1. Cloud resource orchestration programming: Overview, issues, and directions;Ranjan;IEEE Internet Comput.,2015

2. Elasticity in cloud computing: State of the art and research challenges;Al-Dhuraibi;IEEE Trans. Serv. Comput.,2017

3. Docker documentation. Online article;Docker,2018

4. Kubernetes documentation. Online article;kubernetes,2018

5. Terraform documentation. Online article;Terraform,2018

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1. Optimization enabled elastic scaling in cloud based on predicted load for resource management;Multiagent and Grid Systems;2024-03-04

2. Process mining approach for Multi-Cloud SLA Reporting;2023 IEEE International Conference on Big Data (BigData);2023-12-15

3. Conformance checking for autonomous multi-cloud SLA management and adaptation;The Journal of Supercomputing;2022-03-14

4. Towards higher-level description of SLA-aware reconfiguration strategies based on state-machine;2021 IEEE International Conference on e-Business Engineering (ICEBE);2021-11

5. Research on Starting Control Method of New-Energy Vehicle Based on State Machine;Energies;2020-11-27

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