A Formal Analysis of the Count-Min Sketch with Conservative Updates - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

A Formal Analysis of the Count-Min Sketch with Conservative Updates

Résumé

Count-Min Sketch with Conservative Updates (CMS-CU) is a popular algorithm to approximately count items' appearances in a data stream. Despite CMS-CU's widespread adoption, the theoretical analysis of its performance is still wanting because of its inherent difficulty. In this paper, we propose a novel approach to study CMS-CU and derive new upper bounds on the expected value and the CCDF of the estimation error under an i.i.d. request process. Our formulas can be successfully employed to derive improved estimates for the precision of heavy-hitter detection methods and improved configuration rules for CMS-CU. The bounds are evaluated both on synthetic and real traces.
Fichier principal
Vignette du fichier
main.pdf (1015.25 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03613957 , version 1 (24-03-2022)

Identifiants

Citer

Younes Ben Mazziane, Sara Alouf, Giovanni Neglia. A Formal Analysis of the Count-Min Sketch with Conservative Updates. IEEE INFOCOM WNA 2022 - The second Workshop on Networking Algorithms (WNA), May 2022, New York, United States. ⟨10.1109/INFOCOMWKSHPS54753.2022.9798146⟩. ⟨hal-03613957⟩
250 Consultations
350 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More