Author:
Ta’id Holmes
Affiliation:
Deutsche Telekom Technik GmbH, Germany
Keyword(s):
Cloud, Code Generation, Configuration, Datacenter, Deployment, DSL, IaaS, JuJu, MBE, Metamodel, OpenStack.
Related
Ontology
Subjects/Areas/Topics:
Cloud Computing
;
Cloud Computing Enabling Technology
;
Cloud Optimization and Automation
;
Cloud Standards
;
Fundamentals
Abstract:
For establishing the basic cloud service model, a datacenter (DC) needs to deploy an infrastructure as a service
(IaaS) solution. The planning, setup, implementation, and operation of DCs – involving hard- and software –
comprises multiple activities. At least, software-related aspects such as IaaS deployment can be automated. Yet,
in the forefront of an automated installation extensive configurations need to take place. These configurations
often relate to the design and characteristics of the respective DC. Using existing deployment technologies,
however, information from various aspects are scattered and tangled. For avoiding respective drawbacks and
resulting adverse effects, MING (?) – a model-based approach – is presented. It decouples configuration
from automated deployment technologies. This way, various further benefits of model-based engineering are
leveraged such as separation of concerns through view-based models, platform independent representation of
information, and th
e utilization of existing deployment technologies through code generation.
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