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Article analysis:

The article is generally reliable and trustworthy, as it provides a detailed description of the proposed approach for identifying Heavy-Hitter flows in Software-Defined Data Center Networks. The authors provide evidence to support their claims, such as citing existing methods to identify HHs and providing evaluation results that corroborate the usefulness and feasibility of their proposed approach. Furthermore, the authors present both sides of the argument by discussing both advantages and disadvantages of existing approaches for HH identification.

However, there are some potential biases in the article that should be noted. For example, while the authors discuss existing approaches for HH identification, they focus mainly on their drawbacks rather than exploring their advantages or potential applications. Additionally, while the authors provide evidence to support their claims, they do not explore any counterarguments or alternative solutions that could be used instead of their proposed approach. Finally, while the authors mention possible risks associated with using KDN in HH identification, they do not provide any details about how these risks can be mitigated or avoided.