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We analyze the dataset from the Mobile Data Challenge by Nokia, and we identify the significant patterns, including strong spatial and temporal localities.
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This stream has almost no temporal locality.
It refers to temporal locality in data.
The normal workload reflects the temporal locality in BitTorrent traffic.
This stream reveals a medium level of temporal locality.
Experimental analysis is undertaken to observe the effect of locality and the synergy between temporal locality and spatial locality.
The most common approaches used in practice base their object replacement decisions on temporal locality information.
We note that this stream has a very high level of temporal locality in its behavior.
After considering temporal locality, we analyze the object popularity in isolation.
Active push approach pro-actively transfers pages to the destination server based on temporal locality heuristic.
But, all existing methods do not consider temporal locality for further compression.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com