EDBT 2026 Demo / reviewers in the wild / expert
Kousik Kumar Dutta
dblp:297/4783
· DBLP profile ↗
5ranked-venue papers
5as first author
5since 2021 · last 2026
0000-0003-0779-1354ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 4 · 4 first-author · 4 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | A User-Configurable Navigation System for Wideness and Turn-Aware Routing
Kousik Kumar Dutta, Venkata M. V. Gunturi |
MDM | 1 |
| 2026 | A parallelizable algorithm for constrained maximization of preferences in large time-dependent graphs
Kousik Kumar Dutta, Venkata M. V. Gunturi |
GeoInformatica | 1 |
| 2025 | Interval Based Constrained Path Optimization in Time-Dependent Road Networks
Kousik Kumar Dutta, Venkata M. V. Gunturi |
WISE (2) | 1 |
| 2022 | A Multi-Threading Algorithm for Constrained Path Optimization Problem on Road Networks
Kousik Kumar Dutta, Ankita Dewan, Venkata M. V. Gunturi |
WISE | 1 |
| 2021 | A Fairness Conscious Cache Replacement Policy for Last Level CacheabstractMulticore systems with shared Last Level Cache (LLC) possess a bigger challenge in allocating the LLC space among multiple applications running in the system. Since all applications use the shared LLC, interference caused by them may evict important blocks of other applications that result in premature eviction and may also lead to thrashing. Replacement policies applied locally to a set distributes the sets in a dynamic way among the applications. However, previous work on replacement techniques focused on the re-reference aspect of a block or application behavior to improve the overall system performance. The paper proposes a novel cache replacement technique Application Aware Re-reference Interval Prediction (AARIP) that considers application behavior, re-reference interval, and premature block eviction for replacing a cache block. Experimental evaluation on a four-core system shows that AARIP achieves an overall performance improvement of 7.28%, throughput by 4.9%, and improves overall system fairness by 7.85%, as compared to the traditional SRRIP replacement policy. Kousik Kumar Dutta, Prathamesh Nitin Tanksale, Shirshendu Das |
DATE | 1 |