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A Fog platform can deploy efficient tools like CLOUDWATCHER [118] for partial network monitoring by selecting specific devices and PayLess [119] for scanning SDN communication with minimal computing resources.
The selection of the data was the result of an extensive research on the functionality of the protocol SSL, combined with a deep analysis of the independent variables, to obtain the ones that give the maximum precision under the strict condition of minimal computing resources consumption.
In this paper, we focus on one of the major challenges, that is, rapidly detecting the taxonomic composition in a metagenomic short read sample with minimal computing resources.
Using minimal computing resources and a small number of inter-EC-derived contacts, low interface positional RMSDs relative to experimental structures can be achieved.
Much of the focus of research in these areas is on the development of more powerful algorithms that can solve data mining problems with minimal computing resources.
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It is simple and demands minimal computational resources.
The simplified kinetic description contains only easily specified parameter values and requires minimal computational resources.
It is shown that, through proper design of a client server framework, excellent overall system performance can be obtained with minimal demands on the computing resources that are allocated to ASR.
Cloud computing resources can offload computational requirements from hosting institutions.
Because it is resources composed of PC clusters that meet the level of high-computing power, it consumes minimal computing cost.
With minimal effort or service provider interaction, the configurable computing resources can be rapidly provisioned and released on demand with a pay-as-you-go style [1].
Related(15)
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