Towards Interpreting Models to Orchestrate IaaS Multi-Cloud Infrastructures

Mark Allison; Stephen Turner; Andrew A. Allen

doi:10.1109/ICCSE.2015.7250222

Towards Interpreting Models to Orchestrate IaaS Multi-Cloud Infrastructures

Mark Allison, Stephen Turner, Andrew A. Allen

Computer Science

University of Michigan, Flint

Research output: Contribution to book or proceeding › Chapter

4 Scopus citations

Abstract

One challenge to the cloud computing paradigm is the task complexity associated with designing and managing multi-cloud solutions based on operational objectives. Heterogeneous vendor interfaces and a lack of standardization compounds this complexity and may eventually lead to vendor lock-in. In this article we present a model driven approach to allowing network administrators to intuitively describe and rapidly realize non-trivial IaaS behavior in realtime. We have developed iCloudML, an interpreted domain-specific modeling language and its interpreter as tooling support for the domain.

Original language	American English
Title of host publication	Proceedings of the International Conference on Computer Science and Education
DOIs	https://doi.org/10.1109/ICCSE.2015.7250222
State	Published - Jul 22 2015

Disciplines

Computer Sciences

Keywords

Biological system modeling
Cloud computing
Data models
Object oriented modeling
Quality of service
Runtime
Syntactics

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10.1109/ICCSE.2015.7250222License: Unspecified

https://doi.org/10.1109/ICCSE.2015.7250222

Cite this

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title = "Towards Interpreting Models to Orchestrate IaaS Multi-Cloud Infrastructures",

abstract = "One challenge to the cloud computing paradigm is the task complexity associated with designing and managing multi-cloud solutions based on operational objectives. Heterogeneous vendor interfaces and a lack of standardization compounds this complexity and may eventually lead to vendor lock-in. In this article we present a model driven approach to allowing network administrators to intuitively describe and rapidly realize non-trivial IaaS behavior in realtime. We have developed iCloudML, an interpreted domain-specific modeling language and its interpreter as tooling support for the domain.",

keywords = "Biological system modeling, Cloud computing, Data models, Object oriented modeling, Quality of service, Runtime, Syntactics",

author = "Mark Allison and Stephen Turner and Allen, {Andrew A.}",

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AU - Turner, Stephen

AU - Allen, Andrew A.

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N2 - One challenge to the cloud computing paradigm is the task complexity associated with designing and managing multi-cloud solutions based on operational objectives. Heterogeneous vendor interfaces and a lack of standardization compounds this complexity and may eventually lead to vendor lock-in. In this article we present a model driven approach to allowing network administrators to intuitively describe and rapidly realize non-trivial IaaS behavior in realtime. We have developed iCloudML, an interpreted domain-specific modeling language and its interpreter as tooling support for the domain.

AB - One challenge to the cloud computing paradigm is the task complexity associated with designing and managing multi-cloud solutions based on operational objectives. Heterogeneous vendor interfaces and a lack of standardization compounds this complexity and may eventually lead to vendor lock-in. In this article we present a model driven approach to allowing network administrators to intuitively describe and rapidly realize non-trivial IaaS behavior in realtime. We have developed iCloudML, an interpreted domain-specific modeling language and its interpreter as tooling support for the domain.

KW - Biological system modeling

KW - Cloud computing

KW - Data models

KW - Object oriented modeling

KW - Quality of service

KW - Runtime

KW - Syntactics

UR - https://digitalcommons.georgiasouthern.edu/compsci-facpubs/81

UR - https://doi.org/10.1109/ICCSE.2015.7250222

U2 - 10.1109/ICCSE.2015.7250222

DO - 10.1109/ICCSE.2015.7250222

M3 - Chapter

BT - Proceedings of the International Conference on Computer Science and Education

ER -

Towards Interpreting Models to Orchestrate IaaS Multi-Cloud Infrastructures

Abstract

Disciplines

Keywords

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