Cloud computing is actually a model for enabling convenient, limitless, on demand network access to a shared pool of computing resource.
The impactor can be configured up to 11 stages with a wide range of cutoff diameters from 0.6 μm to 21.1 μm, enabling convenient sampling of inhalable drug particles from inhalation devices and drug production processes.
In this regard, Cloud Computing is a model "for enabling convenient, on-demand network access to a shared pool of configurable computing resources " [4].
Cloud computing is defined as "a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction" [15].
According to NIST National Institute of Standards and Technologyy, USA), "Cloud Computing is a model for enabling convenient, on-demand work access to a shared pool of configurable resources (e.g., networks, servers, storage, applications and services) that can rapidly be provisioned and released with minimal management effort or service provider interaction" [3].
It is defined as a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction [2].
These three variants were created from practical reasons they enable convenient description of the shape of rasters for calculation.
An elegant feedstock delivery arrangement to enable either simultaneous or sequential feeding of powders and suspensions to enable convenient processing of coatings with desired architectures is presented.
This enables convenient software-in-the-loop (SIL) engineering since many control unit producers provide rapid prototype programming via Matlab/Simulink.
Motivated by these observations, this paper proposes a new method for generating a flexible generalization outcome which enables convenient updating of original building models.
This program enables convenient in silico experiments regarding biotin metabolism, which can help researchers design future experiments while new data can be continuously incorporated.
