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The largest change in the computer industry over the past five years has arguably been the emergence of cloud computing: organizations are increasingly moving their workloads to managed public clouds and using new, global-scale services that were simply not possible in private datacenters.
It has led to the emergence of "cloud computing" – a technology in which we use simple devices (mobile phones, low-power laptops or tablets) to access computing services that are provided by powerful servers somewhere on the net.
Furthermore, the emergence of cloud computing initiates the massive use of a new generation of ubirobots that enrich their cognitive capabilities and share their knowledge by connecting themselves to cloud infrastructures.
Data outsourcing has attracted much attention recently due to the emergence of cloud computing.
The emergence of cloud computing presents a new and promising paradigm to handle these challenges [1].
Enterprise IT looks at the emergence of cloud computing with mixed emotions.
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My vision is predicated on understanding the architecture for grid computing; on flexible and automated approaches for selecting data movement technologies and on their use in data systems; on the recent emergence of cloud computing for processing and storage, and on the unobtrusive and automated integration of scientific algorithms into data systems.
See articleTwo deals underlined the growth of cloud computing.
Since the emergence of the concept of cloud computing a few years ago, a variety of distributed computing environments have been released.
The emergence of the cloud computing technology has further enhanced the capabilities of the cloud-based virtual learning environment (VLE) compared to the grid computing based VLE as teaching resources can be accessed, saved, retrieved and shared on the cloud any time any where without any limitation.
The recent emergence of cloud computing has drastically altered everyone's perception of infrastructure architectures, software delivery and development models.
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