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The Tgs decreased, and toughness increased, as the phenolic Novolac content in the network was increased.
By having lesser metallic content in the network (increasing S-SWNT), the network became more sensitive towards ambient environment, with sheet resistance varied from daily measurement.
Note that the attackers in this paper belong to the internal attackers, which can revise the message content in the network, but they are not able to compromise any node in the network which requires more resource for the attackers.
Meanwhile, considering the effect of content popularity, and in order to make the simulation closer to the real scene, the type of the request content satisfies the zipf law, which means that 80% of internet users are more interested in only 20% content in the network.
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"It feels like there's an insatiable appetite for sports and sports-related content — in the networks, the amount of money going into sports programming has tripled, on massive numbers, and if you look at Twitter, 60% of traffic is sports-related," says Ryan Moore of Atlas Venture.
We abstract the cache size for a BS as a proportion that the cache size is defined as the relative size to the total amount of different contents in the network, which varies from 0.1 to 5%[28]8].
With the enormous development of the self-media service on mobile internet, the contents published by users become more and more, and this would lead to the variety of the contents in the network, which means that the Zipf parameter α tends to be small.
However, most of existing cache strategies designed mainly based on the time or frequency of content access, can not properly deal with the problem of the dynamicity of content popularity in the network.
In this paper, influence is considered as the degree of content propagation in the network (retweets).
In contrast to ant algorithms (Dorigo et al. 2006), which can be used for robust routing in dynamic networks, the hormone approach provides a means for optimizing the content placement in the network.
Network cache is the whole number of a content cached in the network, and here, we use the percentage between the caching nodes and the whole number of the nodes to represent it.
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