Fast Data Stream Algorithms using Associative Memories
Summary: Leverages the integrated NPU-TCAM architecture to accelerate data stream summarization at gigabit rates. Proposes two TCAM-conscious algorithms for the frequent elements problem and evaluates them on a state-of-the-art networking platform. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nagender Bandi (University of California Santa Barbara)
- 2. Ahmed Metwally (University of California Santa Barbara)
- 3. Divyakant Agrawal (University of California Santa Barbara)
- 4. Amr El Abbadi (University of California Santa Barbara)
BibTeX Citation
@inproceedings{bandi_sigmod07,
title = {{Fast Data Stream Algorithms using Associative Memories}},
author = {Bandi, Nagender and Metwally, Ahmed and Agrawal, Divyakant and Abbadi, Amr El},
series = {{SIGMOD} '07},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1247480.1247510},
url = {https://dl.acm.org/doi/10.1145/1247480.1247510},
year = {2007}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 885 | Finding Frequent Items in Data Streams | 2008 | VLDB | 0.00013419017 |
| 2,181 | Streams on Wires — A Query Compiler for FPGAs | 2009 | VLDB | 9.0101847e-05 |
| 3,445 | Sketching Linear Classifiers over Data Streams | 2018 | SIGMOD | 7.4089141e-05 |
| 6,040 | FPGA: What's in it for a Database? | 2009 | SIGMOD | 5.9977597e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 82 | Space-Efficient Online Computation of Quantile Summaries | 2001 | SIGMOD | 0.00036378991 |
| 111 | TelegraphCQ: Continuous Dataflow Processing for an Uncertain World | 2003 | CIDR | 0.00032990214 |
| 122 | Approximate Frequency Counts over Data Streams | 2002 | VLDB | 0.00031260115 |
| 150 | Query Processing, Resource Management, and Approximation in a Data Stream Management System | 2003 | CIDR | 0.00029208207 |
| 230 | Gigascope: A Stream Database for Network Applications | 2003 | SIGMOD | 0.00023891474 |
| 261 | Approximate Medians and other Quantiles in One Pass and with Limited Memory | 1998 | SIGMOD | 0.00023097188 |
| 838 | What’s Hot and What’s Not: Tracking Most Frequent Items Dynamically | 2003 | PODS | 0.0001370404 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 7,815 | Sketching Unaggregated Data Streams for Subpopulation-Size Queries | 2007 | PODS |
| 2 | 11,123 | Streaming Algorithms with Few State Changes | 2024 | PODS |
| 3 | 12,755 | Using Association Rules for Fraud Detection in Web Advertising Networks | 2005 | VLDB |
| 4 | 6,597 | Similarity Search and Locality Sensitive Hashing using Ternary Content Addressable Memories | 2010 | SIGMOD |
| 5 | 4,683 | False Positive or False Negative: Mining Frequent Itemsets from High Speed Transactional Data Streams | 2004 | VLDB |
| 6 | 122 | Approximate Frequency Counts over Data Streams | 2002 | VLDB |
| 7 | 3,197 | Processing Set Expressions over Continuous Update Streams | 2003 | SIGMOD |
| 8 | 11,638 | Frequent Elements with Witnesses in Data Streams | 2021 | PODS |
| 9 | 8,603 | Stream Frequency over Interval Queries | 2019 | VLDB |
| 10 | 885 | Finding Frequent Items in Data Streams | 2008 | VLDB |