Database concurrency control using data flow graphs
ACM Transactions on Database Systems (TODS)
The notions of consistency and predicate locks in a database system
Communications of the ACM
A methodology for database system performance evaluation
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
IEEE Transactions on Software Engineering
Benchmarking Database Systems A Systematic Approach
VLDB '83 Proceedings of the 9th International Conference on Very Large Data Bases
A non-blocking transaction data flow graph based approach for replicated data
ACM SIGOPS Operating Systems Review
The Performance of an Efficient Distributed Synchronization and Recovery Algorithm
The Journal of Supercomputing
A Nonblocking Transaction Data Flow Graph Based Protocol For Replicated Databases
IEEE Transactions on Knowledge and Data Engineering
Asynchronous Transaction Processing for Updates by Client: With Elimination of Wait-for State
HiPC '02 Proceedings of the 9th International Conference on High Performance Computing
Asynchronous Operations in Distributed Concurrency Control
IEEE Transactions on Knowledge and Data Engineering
Non-blocking concurrency control in distributed database systems
PAS '95 Proceedings of the First Aizu International Symposium on Parallel Algorithms/Architecture Synthesis
Parallel Concurrency Control Activity for Transaction Management in Real-time Database Systems
The Journal of Supercomputing
A concurrency control model for PDM systems
Computers in Industry
Performance considerations of embedded computations in distributed databases
Journal of Embedded Computing
Elimination of non-deterministic delays in a real-time database system
ICESS'05 Proceedings of the Second international conference on Embedded Software and Systems
Synchronization and recovery in an embedded database system for read-only transactions
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
| Hi-index | 0.00 |
The performance of flow graph locking (FGL) is compared with that of two-phase locking (2PL). As the data sharing level increases, FGL has a better response time than 2PL. Regardless of the data sharing or multiprogramming levels, FGL usually facilitates a better throughput rate than 2PL.