Concurrency control and recovery in database systems
Concurrency control and recovery in database systems
Adaptive transaction scheduling
CIKM '93 Proceedings of the second international conference on Information and knowledge management
A mobile transaction model that captures both the data and movement behavior
Mobile Networks and Applications
Data & Knowledge Engineering
A pre-serialization transaction management technique for mobile multidatabases
Mobile Networks and Applications
The notions of consistency and predicate locks in a database system
Communications of the ACM
Transaction Processing: Concepts and Techniques
Transaction Processing: Concepts and Techniques
Overview of multidatabase transaction management
The VLDB Journal — The International Journal on Very Large Data Bases
A Model for Adaptable Systems for Transaction Processing
IEEE Transactions on Knowledge and Data Engineering
Using Tickets to Enforce the Serializability of Multidatabase Transactions
IEEE Transactions on Knowledge and Data Engineering
Transaction Processing in Mobile, Heterogeneous Database Systems
IEEE Transactions on Knowledge and Data Engineering
A Power-aware Technique to Manage Real-time Database Transactions in Mobile Ad-Hoc Networks
DEXA '01 Proceedings of the 12th International Workshop on Database and Expert Systems Applications
Modeling mobility for vehicular ad-hoc networks
Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks
Towards commercial mobile ad hoc network applications: a radio dispatch system
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Sharing mobile databases in dynamically configurable environments
CAiSE'03 Proceedings of the 15th international conference on Advanced information systems engineering
A concurrency control scheme for mobile transactions in broadcast disk environments
Data & Knowledge Engineering
| Hi-index | 0.00 |
In a database system, the scheduler has the goal of synchronizing operations belonging to several concurrent transactions. The scheduler implements a concurrency control protocol, which may have either conservative or aggressive behavior. Existing database systems have schedulers with static behavior. This paper presents a self-adaptable scheduler, called Intelligent Transaction Scheduler (ITS), which has the ability of dynamically changing its behavior to adapt itself to the characteristics of the computing environment, without any human interference by using an expert system based on fuzzy logic. ITS can implement different correctness criteria, such as classical (syntactic) serializability and semantic serializability.