2017
DOI: 10.1016/j.jpdc.2016.08.004
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Highly intensive data dissemination in complex networks

Abstract: This paper presents a study on data dissemination in unstructured Peer-to-Peer (P2P) network overlays. The absence of a structure in unstructured overlays eases the network management, at the cost of non-optimal mechanisms to spread messages in the network. Thus, dissemination schemes must be employed that allow covering a large portion of the network with a high probability (e.g. gossip based approaches). We identify principal metrics, provide a theoretical model and perform the assessment evaluation using a … Show more

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Cited by 26 publications
(33 citation statements)
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References 49 publications
(98 reference statements)
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“…As a first effort to fix this problem, we have added to S 3 a message caching mechanism that operates in every node. This is an approach that is very common in presence of dissemination algorithms based on gossip [31]. Figure 6 shows that, in this simulation model, the effect of message caching is negligible in terms of reduction of the communication overhead.…”
mentioning
confidence: 89%
“…As a first effort to fix this problem, we have added to S 3 a message caching mechanism that operates in every node. This is an approach that is very common in presence of dissemination algorithms based on gossip [31]. Figure 6 shows that, in this simulation model, the effect of message caching is negligible in terms of reduction of the communication overhead.…”
mentioning
confidence: 89%
“…In fact there are other protocols that allow either to reduce the number of messages sent or to enhance the anonymity of the transaction's creator. Some alternative algorithms that can be used for the dissemination of a transaction are [10]:…”
Section: Dissemination In Dltsmentioning
confidence: 99%
“…Nodes of the graphs are peers while links represent communication connections [36,37]. In these overlays, all nodes have the same out-degree, that has been set to 5 in our experiments.…”
Section: Simulation Modelmentioning
confidence: 99%