| dc.contributor.author | Mishra, Dhruv | |
| dc.contributor.author | Bajaj, Kshitij | |
| dc.contributor.author | Chatterjee, Bapi (Advisor) | |
| dc.date.accessioned | 2024-05-24T11:26:17Z | |
| dc.date.available | 2024-05-24T11:26:17Z | |
| dc.date.issued | 2023-11-29 | |
| dc.identifier.uri | http://repository.iiitd.edu.in/xmlui/handle/123456789/1613 | |
| dc.description.abstract | Counting Bloom filters are highly space-efficient with a small probability of false positives. Concurrent access to a Counting bloom filter can greatly increase its insertion and query throughput. | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | IIIT-Delhi | en_US |
| dc.subject | Bloom Filters | en_US |
| dc.subject | Probability of False Positives | en_US |
| dc.subject | Approximate Counters and Relaxed Counters | en_US |
| dc.subject | Throughput and Scalability Testing | en_US |
| dc.title | Relaxed concurrent counting bloom filters | en_US |
| dc.type | Other | en_US |