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This research proposes the implementation of a cloud platform.
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It proposes a specific architecture with different servers, for the implementation of a collaborative cloud based Design system.
The implementation of a thematic layer (Figure 3) in a cloud infrastructure based on INSPIRE components including implementation rules, metadata, data specification, services, monitoring and reporting will be challenging due to the recent specification of INSPIRE annexes.
Therefore, in this paper we present a comprehensive stochastic analysis of several traffic characteristics related to the implementation of vehicular cloud inside a road segment by adopting proper traffic models.
The implementation of the cloud DVR is also a little odd.
The implementation of docking on a cloud computing platform is then discussed.
We address the requirements of a cloud management middleware API, which is intended to support the implementation of the private cloud architecture currently in development.
The developer of a new application intended to run in Cloud environment is invited to describe the application in Java, Python and Erlang following the mOSAIC's API recommendations so that the application is not depending on a certain implementation of a Cloud service.
In [15] the authors present an architecture for the implementation of self-manageable Cloud services which in case of failures or environmental changes manage themselves to fulfill the guaranteed quality of service.
The approach has also led to the definition and implementation of a cloud-based prototype platform, which is also presented, currently deployed in the context of a geographic area showing critical environment-related aspects and fragilities.
The key contribution of this paper lies in the design and implementation of a cloud-based, elastic modeling and simulation framework that provides an intuitive, model-driven, collaborative, and concurrent visual simulation environment for STEM education.
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