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c A cache partitioning policy defines the rules according to which the cache of one node is assigned to the sessions that simultaneously cross that node.
In the proposed architecture, the cache partitioning policy is defined by the Session Manager, which parameterizes the cache module, assigning the weights ω i n.
Since the performance of the transport protocol increases with the cache utilization, the latter must be maximized while respecting the cache partitioning policy.
In general, our proposed scheme adopts a hybrid partitioning policy [13] and can be classified within the family of admission control schemes designed for the integration of heterogeneous networks, such as [14 17].
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Possible cache partitioning policies are analyzed extensively in [7].
Different cache partitioning policies were tested, and it is shown that cache partitioning policies should take into account the network conditions experienced by concurrent flows, namely the status of the radio links and the flow lengths.
We further discuss how to use our results, the coverage of our model and method, and the design of future partitioning policies.
Future work by the authors shall address the integration of cache partitioning policies in the proposed architecture, as well as adaptations to suit delay-sensitive services requiring reliable delivery.
More specifically we have improved the eXtended Classifier System for Clustering (XCSc) algorithm to present a hybrid system that mixes data replication and partitioning policies by means of an online clustering approach.
We are aware of the limitations of this approach, since a complete solution should be able to integrate non-uniform cache partitioning policies (e.g., based on hop distance and link quality as in [7]) with flexible routing decisions, considering both as degrees of freedom of the optimization solution space.
A sound use case of this concern is found when defining data replication and partitioning policies to store data emerged in the Smart Grids domain in order to adapt electric networks to current application demands (e.g., real time consumption, network self adapting).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com