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HMDC approach has used active-push and on-demand paging approaches for improving the VM memory transfer rate.
Memory-Intensive applications performance is highly affected when migration is performed by pre-copy because the memory dirty rate is higher than the memory transfer rate.
The reason for this is that, for small blocksize, the access to the global memory increases and the memory transfer rate decreases.
GPUs are able to achieve up to three TFLOPS working in simple precision mode and up to 190 GB/s in memory transfer rate.
Cheng and Hang [18] decomposed the H.264/AVC ME algorithm into five steps so as to achieve highly parallel computation with a low external memory transfer rate.
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An adaptive approach pro-actively adjusts the memory page transfer rate based on VM behavior, whereas non-adaptive approach transfers VM memory pages at maximum possible transfer speed.
Thus, the definition of big data changes in accordance with the development of processing power, memory size, data transfer rate on disks and networks, data organization and representation, and analytical models.
The fact that bandwidth between CPU and the main memory (also called data transfer rate) is much lower than the speed that a typical CPU can work severely limits the processing speed of the modern computer, which is known as von Neumann bottleneck.
Therefore most relevant performance measures for our application are number of CPUs, size of memory, and data transfer rates (while using a hybrid infrastructure).
In the context of big data analytics, this can be viewed as the rate at which the data is read and written to the memory (or disk) or the data transfer rate between the nodes in a cluster.
This Kingston model is the first Class 10 microSDHC memory card and has a minimum data transfer rate of 10MB/sec.
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Justyna Jupowicz-Kozak
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