Towards Model-Driven Infrastructure Provisioning for Multiple Clouds
J. Sandobalin (),
E. Insfran () and
S. Abrahao ()
Additional contact information
J. Sandobalin: Escuela Politécnica Nacional
E. Insfran: Universitat Politècnica de València
S. Abrahao: Universitat Politècnica de València
A chapter in Advances in Information Systems Development, 2019, pp 207-225 from Springer
Abstract:
Abstract Companies currently use cloud services to obtain access to computing resources located in virtualized environments. Practitioners and researchers are adopting the Infrastructure as Code approach to cloud infrastructure automation, in addition to attaining the infrastructure for a particular cloud provider in a short amount of time. However, the traditional method of using a single cloud provider has several limitations concerning privacy, security, performance, geographical reach, and vendor lock-in. In order to mitigate these issues, industry and academia are implementing multiple clouds (i.e., multi-cloud). In a previous work, we introduced ARGON, which is an infrastructure modeling tool for cloud provisioning that leverages Model-Driven Engineering to provide a uniform, cohesive, and seamless process with which to support the DevOps approach. In this paper, we present an extension of ARGON that can be employed to support multi-cloud infrastructure provisioning modeling and propose a model-driven approach that allows migration among cloud providers.
Keywords: Infrastructure provisioning; Infrastructure as code; Cloud computing; Multi-Cloud; DevOps; Model-Driven engineering (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-22993-1_12
Ordering information: This item can be ordered from
http://www.springer.com/9783030229931
DOI: 10.1007/978-3-030-22993-1_12
Access Statistics for this chapter
More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().