Sentence examples for cloud computing architectures from inspiring English sources

Recently, the United States government has begun to utilize cloud computing architectures, platforms, and applications to deliver services and meet the needs of their constituents.

By posing research questions in the context of the largest and most-demanding real-world systems, LADIS serves to catalyze dialog between cloud computing engineers and scalable distributed systems researchers, to open the veil of secrecy that has surrounded many cloud computing architectures, and to increase the potential impact of the best research underway in the systems community.

Nonetheless, our approach can be applied in various cloud computing architectures since the scheduling component can be developed and easily integrated to the cloud system without dependency.

In [15], the authors propose a middleware for enterprise cloud computing architectures that can automatically manage the resource allocation of services, platforms, and infrastructures.

The escalation of network traffic from the profusion of data centers and other cloud computing architectures have catalyzed numerous multiplexing technologies for enhancing the capacity of optical fiber networks and optimizing the optical spectrum.

Non-existent stable usage of cloud computing architectures.

Due to the increasing usage of the cloud computing architecture, computer systems are facing many security challenges that render sensitive data visible and available to be counterfeited by malicious users and especially intruders.

At the same time, greater storage platform is also available as mobile computing cloud computing architecture adopted to carry out computer activities.

Therefore, many popular computational algorithms cannot be directly utilized in cloud computing architecture [8].

This attack is mainly caused by virtualization [4, 5], which is the backbone of the recent cloud computing architecture, where virtualization allows emulating a particular computer system and sharing physical resources (e.g., CPU and network bandwidth).

It discusses issues involved in energy-efficient cloud computing and presents a "green" cloud computing architecture.