Our approach is mainly consist of packet preprocessing, updating and merging, filtering strategy, super node detection. The experiments are conducted based on ...
Abstract—Due to the massive number of network data streams in high speed networks, it is not feasible to maintain the exact connection degree of each node ...
Detection of Super Nodes for Network Data Streams with Filtering Strategy. In Fifth International Conference on Advanced Cloud and Big Data, CBD 2017 ...
Jun 30, 2022 · In this paper, we propose a novel method for detecting supernodes in the distributed monitoring systems. It constructs two-dimensional ...
Detection of Super Nodes for Network Data Streams with Filtering Strategy. Conference Paper. Aug 2017. Aiping Zhou · Huisheng Zhu · Lijun Liu · Chengang Zhu.
Data Deduplication Based on Hadoop pp. 147-152. Detection of Super Nodes for Network Data Streams with Filtering Strategy pp. 153-158. Distributed Processing ...
It is a challenging problem to identify heavy hitters in high-speed and dynamically changing data streams with less memory and computational overhead with high ...
Missing: Strategy. | Show results with:Strategy.
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– Assume each node has enough capacity to process incoming data stream. Hence each node generates a list of the arriving items and their exact frequency counts.
The core of this method is a novel data structure called Vector Bloom Filter. (VBF). A VBF is a variant of standard Bloom Filter (BF). The. VBF consists of 6 ...
Missing: Strategy. | Show results with:Strategy.