Demo Data from VLDB 2026 / reviewers in the wild / expert
Sashikanth Chandrasekaran
dblp:45/682
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2003
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
2 papers |
Database system architecture and tuning · 59% Transaction processing and concurrency control · 34% Indexing and storage engines · 8% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
High-performance computing · 100% |
Topics — the 3 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Database system architecture and tuning › parallel database system
shared-disk clusters |
0.0 | 1 | 2001 | Cache Fusion: Extending Shared-Disk Clusters with Shared Caches · VLDB 2001 |
High-performance computing › cluster computing
commodity cluster |
0.0 | 1 | 2003 | Shared Cache - The Future of Parallel Databases · ICDE 2003 |
Indexing and storage engines › caching
cache coherence |
0.0 | 1 | 2001 | Cache Fusion: Extending Shared-Disk Clusters with Shared Caches · VLDB 2001 |
Methods — techniques the papers use, named apart from their topics
partitioned parallelism · 0.1cache coherence protocol · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Shared Cache - The Future of Parallel DatabasesabstractIt is a common misconception that the shared nothing database is the preferred parallel database architecture for both scalability as well as price/ performance. This paper explains that, contrary to popular belief, a shared-cache architecture as implemented in Oracle 9i Real Application Clusters (RAC) is not only viable but also the future of parallel database architectures. We argue that business needs, hardware trends and database application trends favor shared-cache architectures for both OLTP and DSS workloads. We show that the shared-cache architecture allows the DBMS to choose from a superset of the parallel execution strategies that can be used in a shared nothing system. Shared cache uses SMP-like global buffer cache coherence protocol for OLTP transactions and shared-nothing-like partitioned parallelism for DSS workloads. We then explain the innovations present in Oracle 9i RAC to implement a shared-cache database using commodity hardware components. Finally, we explore future directions to further improve the shared-cache architecture on commodity clusters. Sashikanth Chandrasekaran, Roger Bamford |
ICDE | 1 |
| 2001 | Cache Fusion: Extending Shared-Disk Clusters with Shared Caches
Tirthankar Lahiri, Vinay Srihari, Wilson Chan, Neil MacNaughton, Sashikanth Chandrasekaran |
VLDB | 5 |