Demo Data from EDBT 2026 / reviewers in the wild / expert
Lory D. Molesky
dblp:m/LoryDMolesky
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 1995
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 1 · 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
1 paper |
Transaction processing and concurrency control · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Memory systems · 50% Parallel and multicore computing · 50% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Transaction processing and concurrency control › recovery
crash recovery |
0.0 | 1 | 1995 | Recovery Protocols for Shared Memory Database Systems · SIGMOD Conference 1995 |
Transaction processing and concurrency control › distributed transaction management
multidatabase transaction management |
0.0 | 1 | 1995 | Recovery Protocols for Shared Memory Database Systems · SIGMOD Conference 1995 |
Memory systems
cache coherence |
0.0 | 1 | 1995 | Recovery Protocols for Shared Memory Database Systems · SIGMOD Conference 1995 |
Parallel and multicore computing › multiprocessor system
shared-memory multiprocessor |
0.0 | 1 | 1995 | Recovery Protocols for Shared Memory Database Systems · SIGMOD Conference 1995 |
Methods — techniques the papers use, named apart from their topics
crash recovery protocol · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | Recovery Protocols for Shared Memory Database SystemsabstractSignificant performance advantages can be gained by implementing a database system on a cache-coherent shared memory multiprocessor. However, problems arise when failures occur. A single node (where a node refers to a processor/memory pair) crash may require a reboot of the entire shared memory system. Fortunately, shared memory multiprocessors that isolate individual node failures are currently being developed. Even with these, because of the side effects of the cache coherency protocol, a transaction executing strictly on a single node may become dependent on the validity of the memory of many nodes thereby inducing unnecessary transaction aborts. This happens when database objects, such as records, and database support structures, such as index structures and shared lock tables, are stored in shared memory. In this paper, we propose crash recovery protocols for shared memory database systems which avoid the unnecessary transaction aborts induced by the failure dependencies that occu... Lory D. Molesky, Krithi Ramamritham |
SIGMOD Conference | 1 |
| 1990 | Predictable Synchronization Mechanisms for Multiprocessor Real-Time Systems
Lory D. Molesky, Chia Shen, Goran Zlokapa |
Real Time Syst. | 1 |