research-article

Transitioning to the cloud?: a model-driven analysis and automated deployment capability for cloud services

Authors:

Faruk Caglar,

Kyoungho An,

Aniruddha Gokhale,

Tihamer LevendovszkyAuthors Info & Claims

MDHPCL '12: Proceedings of the 1st International Workshop on Model-Driven Engineering for High Performance and CLoud computing

Article No.: 8, Pages 1 - 2

https://doi.org/10.1145/2446224.2446232

Published: 02 October 2012 Publication History

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Abstract

As cloud computing becomes increasingly popular and appealing, application and service providers increasingly face questions on whether moving to the cloud would be beneficial to their business, and how should the cloud deployment of their application be realized. Analysis techniques, such as simulations, hold promise in analyzing the benefits of moving to the cloud, and while generative mechanisms can automate the deployment of applications in the cloud. This paper describes how model-driven engineering (MDE) supports both these desired capabilities by providing intuitive and automated capabilities for driving simulations of cloud infrastructures and application services to analyze the benefits of moving the applications to the cloud, and automating the deployment of these applications in the cloud.

References

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M. Armbrust, A. Fox, R. Griffith, A. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica, et al. A View of Cloud Computing. Communications of the ACM, 53(4): 50--58, 2010.

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R. N. Calheiros, R. Ranjan, A. Beloglazov, C. A. F. D. Rose, and R. Buyya. CloudSim: A Toolkit for Modeling and Simulation of Cloud Computing Environments and Evaluation of Resource Provisioning Algorithms. Software: Practice and Experience, 41(1): 23--50, jan 2011.

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Caglar FAn KShekhar SGokhale AGray JKelly SSprinkle J(2013)Model-driven performance estimation, deployment, and resource management for cloud-hosted servicesProceedings of the 2013 ACM workshop on Domain-specific modeling10.1145/2541928.2541933(21-26)Online publication date: 27-Oct-2013
https://dl.acm.org/doi/10.1145/2541928.2541933

Index Terms

Transitioning to the cloud?: a model-driven analysis and automated deployment capability for cloud services
1. Computing methodologies
  1. Modeling and simulation

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MDHPCL '12: Proceedings of the 1st International Workshop on Model-Driven Engineering for High Performance and CLoud computing

October 2012

42 pages

ISBN:9781450318105

DOI:10.1145/2446224

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Association for Computing Machinery

New York, NY, United States

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Published: 02 October 2012

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MODELS '12

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SIGSOFT

MODELS '12: ACM/IEEE 15th International Conference on Model Driven Engineering Languages and Systems

October 2, 2012

Innsbruck, Austria

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Caglar FAn KShekhar SGokhale AGray JKelly SSprinkle J(2013)Model-driven performance estimation, deployment, and resource management for cloud-hosted servicesProceedings of the 2013 ACM workshop on Domain-specific modeling10.1145/2541928.2541933(21-26)Online publication date: 27-Oct-2013
https://dl.acm.org/doi/10.1145/2541928.2541933

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Model-driven performance estimation, deployment, and resource management for cloud-hosted services

Deployment Strategies for Distributed Applications on Cloud Computing Infrastructures

Continous deployment of multi-cloud systems

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