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"Multicast Pushing with Content Request Delay Information," (with Yawei Lu and Wei Chen).
We adopt virtual spatial locality of content popularity for the change of content request probability by using a social influence model.
The results show that PreCache could improve the successful content request ratio up to 90%, and gain an average of 2 hop count reduction compared with ProbCache and Random Caching.
Even the simplest content request requires translating hostnames into IP addresses, routing requests to their destination across the Internet, switching packets to the most effective server, and returning a response to the client.
Our design exploit social correlation to content popularity, the intuition underlying our design is that the content request probability of handset could be affected by others handsets' action in a same social network, and thus the content popularity exhibits a feature of spatial locality in the social network, we called the feature as virtual spatial locality.
For content request pattern, content requests are usually assumed to arrive in the network exogenously and the content request arrival process usually follows the Poisson process.
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Agencies in the Czech Republic made nearly 8,000 content requests from the network.
A fundamental ICN operation is the routing of content requests towards a node that is able to provide the requested content.
For any permission or site content requests, please contact your Site Administrator(s) first.
"Having taken account of the supreme court judgment in the Prince of Wales' letters case, and the particular content requested, we are now withdrawing from legal proceedings.
In this paper, we introduce a wireless network content caching algorithm called PreCache that consider the social influence on users' content requests.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com