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Weblins implements a content-aware request distribution policy via a new interface on top of Gobelins.
However, its effects have not been effectively utilized so far for the request distribution strategies of the clustered VOD system.
By experiments, we evaluate the performance of the proposed method compared with the conventional request distribution methods.
And, based on the results, we propose a request distribution method for the clustered VOD system, where the buffer sharing effects are utilized for improving the system's throughput.
Most traditional cooperative caching schemes were developed for network file systems but were not designed for cluster-based web servers with content-based request distribution.
An analytical model is developed for hash routing that takes into consideration the original request distribution, the object allocation strategy, the speeds of the proxies and the cache hit ratios.
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Finally, we conduct the simulation experiments with a "robot show" application scenario to evaluate our scheduling policy and identify the effect of different request distributions and robot center solutions.
When VND fails, we perform a ILS phase to disturb the requests distribution among the subsets of the partition.
In Kalman parlance, the requested distribution corresponds to the prediction step of the Kalman filter.
The user requests distribution by the (non-uniform) intervals of a day are depicted in Table 1.
The requests distribution model is based on the use of Poisson [20] to define the interval between the arrivals of clients.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com