Concurrency control and recovery in database systems
Concurrency control and recovery in database systems
Conflict detection tradeoffs for replicated data
ACM Transactions on Database Systems (TODS)
Data access scheduling in firm real-time database systems
Real-Time Systems - Special issue: real-time databases
The PROMPT Real-Time Commit Protocol
IEEE Transactions on Parallel and Distributed Systems
The notions of consistency and predicate locks in a database system
Communications of the ACM
Distributed Concurrency Control Performance: A Study of Algorithms, Distribution, and Replication
VLDB '88 Proceedings of the 14th International Conference on Very Large Data Bases
Notes on Data Base Operating Systems
Operating Systems, An Advanced Course
MIRROR: A State-Conscious Concurrency Control Protocol for Replicated Real-Time Databases
WECWIS '99 Proceedings of the International Workshop on Advance Issues of E-Commerce and Web-Based Information Systems
Adding PEP to real-time distributed commit processing
RTSS'10 Proceedings of the 21st IEEE conference on Real-time systems symposium
Adaptive speculative locking protocol for distributed real-time database systems
PDCS '07 Proceedings of the 19th IASTED International Conference on Parallel and Distributed Computing and Systems
SCSC '09 Proceedings of the 2009 Summer Computer Simulation Conference
| Hi-index | 0.00 |
The simulation of a distributed real-time database system is a complicated and compute/time intensive task. Most existing work in this area has focused on developing simulators for the purpose of testing a specific set of protocols under a rigid set of requirements. We have developed a distributed real-time transaction processing simulator (DRTTPS) that provides a full featured interactive simulation environment capable of simulating a wide range of protocols within an environment that closely mimics the real-world. DRTTPS provides a modular, flexible, and extensible approach to protocol development and testing in a complex distributed database environment. The simulator is capable of taking advantage of multiple processors and runs simulations in parallel for a quicker turnaround time.