Title
Avoiding Flow Size Overestimation in Count-Min Sketch With Bloom Filter Constructions
Abstract
The Count-Min sketch is the most popular data structure for flow size estimation, a basic measurement task required in many networks. Typically the number of potential flows is large, eliminating the possibility to maintain a counter per flow within memory of high access rate. The Count-Min sketch is probabilistic and relies on mapping each flow to multiple counters through hashing. This implies p...
Year
DOI
Venue
2021
10.1109/TNSM.2021.3068604
IEEE Transactions on Network and Service Management
Keywords
DocType
Volume
Estimation,Size measurement,Hash functions,Memory management,Task analysis,Probabilistic logic,Complexity theory
Journal
18
Issue
ISSN
Citations 
3
1932-4537
1
PageRank 
References 
Authors
0.35
0
4
Name
Order
Citations
PageRank
Ori Rottenstreich197.31
Pedro Reviriego252775.56
ely porat3100779.16
S. Muthukrishnan48025734.98