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In the engineering community, the performances of network algorithms and protocols are usually evaluated by running them on a network model.
Comparing with the two traditional typical routing protocols (DREAM and DSDV algorithms), this algorithm sacrifices a certain degree of communication distance to achieve better performances of network overhead, link stability, and calculating speed.
However, the previous work usually had three problems: (1) Each method is only designed for a particular network; (2) There are many network statistics, so the evaluation on the performances of network models lacks an unified platform; (3) Without considering the temporal information, it is hard to track the network evolution and detect events.
Although the performances of network coding are very attractive from the information theory perspective, implementation of these performances incurs very high complexity [17].
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LM is typically the fastest of the training algorithms and performs calculations using the entire dataset that might improve the performance of network.
Low-power wireless communications have particular characteristics that highly affect the performance of network protocols.
The IOmeter tool measures performance of network I/O and I/O to a disk subsystem.
First, they are increasing the performance of network monitoring by offloading expensive low-level operations from software into switches and NICs.
The performance of network hosts can be severely degraded when subjected to heavy traffic of today's Gigabit networks.
Depending on these thresholds, we determine which scheme is preferred for the better performance of network throughput.
We propose a new energy profiling method, which allows studying the detailed power performance of network devices.
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CEO of Professional Science Editing for Scientists @ prosciediting.com