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This paper describes a complete infrastructure for environmental monitoring, which is based on a cloud architecture.
In this paper, we propose a technical solution easily replicable, based on accurate and affordable sensors and a cloud architecture to monitor and follow bees' behavior.
We consider a cloud architecture where different services are hosted on virtualized systems on the cloud by multiple cloud customers (multi-tenants).
In The Cloud computing, business participants such as service providers, enterprise solutions, and marketplace applications are required to adopt a cloud architecture engineered for security and performance.
The results presented in this paper are helpful to understand the internal mechanisms of perception and interaction, intelligent scheduling and control of cloud robot systems oriented to smart manufacturing, and the design of a cloud architecture oriented to group learning.
To evolve and instrument a cloud architecture by modifying the platforms and implementing the concept of hybrid cloud along with cloud building techniques, using Big Data Analytics to formulate the statistical organization of the cloud service.
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ESaaS is defined as a Software-as-a-Service cloud architecture with a focus on providing educational resources.
Figure 1 Ad hoc cloud architecture.
Ad hoc cloud architecture scenario is shown in Figure 1 along with its data center model which includes an efficient multi-tenant database.
In this paper, a lambda cloud architecture and a scientific sharing platform used to archive and process high-frequency data are proposed.
Pinnacle to the development of a complete cloud architecture, and a pre-requisite to supporting compute services is the ability for a cloud middleware to support the mounting and construction of persistent storage volumes.
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