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Continous deployment of multi-cloud systems

Authors:

Nicolas Ferry,

Franck Chauvel,

Hui Song,

Arnor SolbergAuthors Info & Claims

QUDOS 2015: Proceedings of the 1st International Workshop on Quality-Aware DevOps

Pages 27 - 28

https://doi.org/10.1145/2804371.2804377

Published: 01 September 2015 Publication History

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Abstract

In this paper we present our mechanism and tooling for the continuous deployment and resource provisioning of multi-cloud applications. In order to facilitate collaboration between development and operation teams as promoted in the DevOps movement, our deployment and resource provisioning engine is based on the Models@Runtime principles. This enables applying the same concepts and language (i.e., CloudML) for deployment and resource provisioning at development-and operation-time.

References

[1]

G. Blair, N. Bencomo, and R. France. [email protected]. IEEE Computer, 42(10):22–27, 2009.

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[2]

N. Ferry, H. Song, A. Rossini, F. Chauvel, and A. Solberg. CloudMF: Applying MDE to Tame the Complexity of Managing Multi-Cloud Applications. In UCC, 2014.

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[3]

M. Httermann. DevOps for developers. Apress, 2012.

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Google Scholar

[4]

J. Humble and D. Farley. Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation. Addison-Wesley Professional, 2010.

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[5]

Introduction Continuous Deployment using Models@Runtime The Deployment Engine Conclusion References

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Cited By

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Jabbari Rbin Ali NPetersen KTanveer B(2018)Towards a benefits dependency network for DevOps based on a systematic literature reviewJournal of Software: Evolution and Process10.1002/smr.195730:11(e1957)Online publication date: 3-Jul-2018
https://doi.org/10.1002/smr.1957
Karim BQing Tan Villar Jde la Cal E(2017)Resource brokerage ontology for vendor-independent Cloud Service management2017 IEEE 2nd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)10.1109/ICCCBDA.2017.7951959(466-472)Online publication date: Apr-2017
https://doi.org/10.1109/ICCCBDA.2017.7951959
Sebrechts MBorny SVanhove TVan Seghbroeck GWauters TVolckaert BDe Turck F(2016)Model-driven deployment and management of workflows on analytics frameworks2016 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2016.7840930(2819-2826)Online publication date: Dec-2016
https://doi.org/10.1109/BigData.2016.7840930
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Index Terms

Continous deployment of multi-cloud systems
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Project and people management
2. Software and its engineering
  1. Software creation and management
    1. Software development process management
  2. Software notations and tools
    1. Software configuration management and version control systems

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Published In

QUDOS 2015: Proceedings of the 1st International Workshop on Quality-Aware DevOps

September 2015

32 pages

ISBN:9781450338172

DOI:10.1145/2804371

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 September 2015

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Short-paper

Funding Sources

Seventh Framework Programme

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ESEC/FSE'15

Sponsor:

SIGSOFT

ESEC/FSE'15: Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering

September 1, 2015

Bergamo, Italy

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Cited By

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Jabbari Rbin Ali NPetersen KTanveer B(2018)Towards a benefits dependency network for DevOps based on a systematic literature reviewJournal of Software: Evolution and Process10.1002/smr.195730:11(e1957)Online publication date: 3-Jul-2018
https://doi.org/10.1002/smr.1957
Karim BQing Tan Villar Jde la Cal E(2017)Resource brokerage ontology for vendor-independent Cloud Service management2017 IEEE 2nd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA)10.1109/ICCCBDA.2017.7951959(466-472)Online publication date: Apr-2017
https://doi.org/10.1109/ICCCBDA.2017.7951959
Sebrechts MBorny SVanhove TVan Seghbroeck GWauters TVolckaert BDe Turck F(2016)Model-driven deployment and management of workflows on analytics frameworks2016 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2016.7840930(2819-2826)Online publication date: Dec-2016
https://doi.org/10.1109/BigData.2016.7840930
Jamshidi PPahl CMendonça N(2016)Pattern‐based multi‐cloud architecture migrationSoftware: Practice and Experience10.1002/spe.244247:9(1159-1184)Online publication date: 3-Oct-2016
https://doi.org/10.1002/spe.2442

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Towards Model-Driven Provisioning, Deployment, Monitoring, and Adaptation of Multi-cloud Systems

Cloud MF: Applying MDE to Tame the Complexity of Managing Multi-cloud Applications

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