Hierarchical heavy hitter
Web3 de abr. de 2024 · HashPipe [84] and Hierarchical Heavy Hitter Detection [85] identified heavy hitters entirely at switches, IDEAFIX [86] identified elephants in IXP networks with 425 a 95% detection accuracy in ... Web11 de set. de 2024 · The results find applications in hierarchical heavy hitter detection, noisy group testing, and adaptive sampling for active learning, classification, and stochastic root finding. Subjects: Machine Learning (cs.LG) Cite as: arXiv:1709.03573 [cs.LG] (or arXiv:1709.03573v1 [cs.LG] for this version)
Hierarchical heavy hitter
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Webof heavy flows, leveraging the massive switch programma-bility offered by P4-based systems [4, 5]. Until now, characterizing the presence of high volume traffic aggregates has been tackled as a problem of detecting Heavy Hitter (HH) or Hierarchical Heavy Hitter (HHH). The former seeks to find an IP prefixp which contributes with Web19 de dez. de 2015 · In this work, we propose a novel Sketch-counter-hybrid algorithm that decomposes the online hierarchical heavy hitter detection to independent and parallel online heavy hitter detection at each hierarchy level. We then propose a fully pipelined architecture suitable for FPGA implementation to accelerate the algorithm.
Web25 de dez. de 2013 · Being similar to heavy hitters detection problem, there is an extended version called Hierarchical Heavy Hitter (HHH) [19] detection, which can also be used to detect heavy hitters. Web27 de fev. de 2011 · The Hierarchical Heavy Hitters problem extends the notion of frequent items to data arranged in a hierarchy. This problem has applications to …
Web28 de ago. de 2024 · This paper examines the challenging problem of learning representations of entities and relations in a complex multi-relational knowledge graph. … WebAs the foundation of the networking management, scalability of the traffic measurement is also important. Recently, many works have focused on TCAM-based measurement, which is considered to be scalable and efficient enough. In this paper, we propose a distributed hierarchical heavy hitter (HHH) detection method, which is also a TCAM-based method.
http://www.dimacs.rutgers.edu/~graham/pubs/papers/ckms-hhh.pdf
Web1 de jan. de 2024 · Given a multiset Sof N elements from a hierarchical domain D and a count thres hold φ ∈ (0,1), Hierarchical Heavy Hitters (HHH) summarize the distribution of S projected along the hierarchy of D as a set of prefixes P ⊆ D, and are defined inductively as the nodes in the hierarchy such that their “HHH count” exceeds ϕ N, where the HHH … cinnamon roll pumpkin bundt cakehttp://dimacs.rutgers.edu/%7Egraham/pubs/papers/ckmsh4.pdf cinnamon roll protein smoothie recipeWeb27 de abr. de 2024 · Multiple network anomaly detection methods have been proposed to deal with rapidly increasing attacks and network disruptions. The existing hierarchical heavy hitter (HHH) is well studied, but it is still difficult to identify more specifically targeted anomalies, as they tend to be small in volume, thus, buried in the entire traffic. To … cinnamon roll pusheenWeb11 de set. de 2024 · The results find applications in hierarchical heavy hitter detection, noisy group testing, and adaptive sampling for active learning, classification, and … diagram of table tennisWeb13 de jul. de 2024 · Finding hierarchical heavy hitters (HHHs) (i.e., hierarchical aggregates with exceptionally huge amounts of traffic) is critical to network management, … cinnamon roll pumpkin dump cake tiktokWeb13 de jul. de 2024 · Finding hierarchical heavy hitters (HHHs) (i.e., hierarchical aggregates with exceptionally huge amounts of traffic) is critical to network management, yet it is often challenged by the requirements of fast packet processing, real-time and accurate detection, as well as resource efficiency. diagram of tabernacleWebHierarchical heavy hitters were implicitly studied in [7,8], to find patterns of traffic (offline) over a multidimensional hierarchy of source and destination ports and … diagram of supply chain management