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Similarly, network devices can offer virtual computation services.
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They are "virtual" computers.
In this paper, we present tiered-service fair queuing (TSFQ), a new scheduler that exploits certain properties of Internet traffic to speed up the bottleneck operations related to virtual time computation and packet sorting.
The model utilizes self-organization to yield emergent behavior and an embodied form of (virtual) material computation as seen in slime mold.
Underlying the clouds are compact and virtualized virtual machines (VMs) hosting computation-intensive applications from distributed users.
To facilitate computation, virtual gimbal coordinate frames are established.
For a task executing inside a virtual machine, the computation of the execution flow should be adjusted to take into consideration interactions between different operating systems through the usage of shared resources.
A computation of "virtual model" and error map is based on parametrization of the individual geometric errors of the machine tool.
This research is not only the first step toward implementing the three-scale computation in virtual process engineering (VPE), but also of referential significance to industrial chemical process development.
Also, it provides a scalable high-performance architecture by supporting multi-level active work processing in active work execution engine, and allocating virtual machines for the computation intensive high-level action such as volume rendering through auto-scalable allocation on cloud system.
At present, a promising solution to address this challenge is cloud computing [ 3- 5], which exploits the full potential of multiple computers and delivers computation and storage as dynamically allocated virtual resources via the Internet [ 6].
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