Examples of using Deployment model in English and their translations into Indonesian
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Ecclesiastic
The appliance deployment model means implementation is simple and straightforward.
NASA is one example of a federalagency who is utilizing the Hybrid Cloud deployment model.
The third major element of the cloud deployment model is the need of a formal billing.
Cloud Deployment Model defines the type of access to the cloud, i.e., how the cloud is located?
Security and Compliance: The inherent security that comes with dedicatedhosting is due to the single-tenant nature of this deployment model.
Deployment model: While selecting cloud hosting in India, you need to look at a long term solution.
Essentially, cloud Use of Technology computing is a deployment model, which sets a new paradigm on how services are chosen, provided and billed.
Deployment model: While picking cloud hosting in India, you will need to look at a long-term solution.
This service model features the sort of service the cloud is offering,and also the deployment model describes how the cloud is going to be implemented.
Deployment model: While choosing the cloud computing in India, you have to consider a lengthy term solution.
They are basically virtual machines, data storage facilities,security mechanisms etc. that together give a deployment model and have the effect of supplying the‘cloud' area of the computing service.
Deployment Model: While making selection of cloud hosting services in India, you should consider a long-term solution.
This problem is particularlyprominent if the consumer uses the hybrid cloud deployment model where the organization's data is distributed amongst a number of public/private(in-house IT infrastructure)/community clouds.
In this deployment model, the infrastructure of the cloud is solely operated for a specific organization and is managed by the organization or a third party.
Essentially, cloud computing is a deployment model, which sets a new paradigm on how services are chosen, provided and billed.
In this deployment model, the infrastructure of the cloud is solely operated for a specific organization and is managed by the organization or a third party.
A distributed agent-based deployment model eliminates the bottlenecks and latency that plague legacy proxy-based encryption solutions.
Through this deployment model, consumers don't have to purchase supporting infrastructure, software or hardware, that is owned and managed by providers.
To begin with, the cloud deployment model assumes that service consumer is competent and might choose the perfect services along with the money to cover it.
Through this deployment model, consumers don't need to purchase supporting infrastructure, hardware or software, which is owned and managed by providers.
In most cases, this deployment model is the same as legacy IT infrastructure while using application management and virtualization technologies to try and increase resource utilization.
In the second-generation deployment model, costs usually were charged back during service selection, and only in rare instances where they charged back at the service order level.
The public cloud deployment model have the unique advantage of being significantly more secure than accessing information via the Internet and tend to cost less than private clouds because services are more commoditized.
The community cloud deployment model is ideal and optimized for agencies or independent organizations that have shared concerns, and therefore need access to shared and mutual records and other types of stored information.
The hybrid cloud computing deployment model option has also proven to be the choice option for state and local governments as well, with states like Michigan and Colorado having already declared their cloud computing intentions with plans illustrating hybrid cloud deployment models. .
The enabling technologies which support the cloud deployment model include internet access or capability for choosing service and service delivery monitoring, compute and storage environment virtualization to support shared resource and planning skills and technology for supporting elastic resource allocations.