Concurrency control and recovery in database systems
Concurrency control and recovery in database systems
RAID: high-performance, reliable secondary storage
ACM Computing Surveys (CSUR)
The dangers of replication and a solution
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
The Byzantine Generals Problem
ACM Transactions on Programming Languages and Systems (TOPLAS)
JDBC API Tutorial and Reference, Second Edition: Universal Data Access for the Java 2 Platform
JDBC API Tutorial and Reference, Second Edition: Universal Data Access for the Java 2 Platform
Fast Algorithms for Maintaining Replica Consistency in Lazy Master Replicated Databases
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Don't Be Lazy, Be Consistent: Postgres-R, A New Way to Implement Database Replication
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Indexing the Web - A Challenge for Supercomputers
CLUSTER '02 Proceedings of the IEEE International Conference on Cluster Computing
Database Replication Techniques: A Three Parameter Classification
SRDS '00 Proceedings of the 19th IEEE Symposium on Reliable Distributed Systems
Partial Replication in the Database State Machine
NCA '01 Proceedings of the IEEE International Symposium on Network Computing and Applications (NCA'01)
C-JDBC: flexible database clustering middleware
ATEC '04 Proceedings of the annual conference on USENIX Annual Technical Conference
Conflict-aware scheduling for dynamic content applications
USITS'03 Proceedings of the 4th conference on USENIX Symposium on Internet Technologies and Systems - Volume 4
Scalable database replication through dynamic multiversioning
CASCON '05 Proceedings of the 2005 conference of the Centre for Advanced Studies on Collaborative research
Exploiting distributed version concurrency in a transactional memory cluster
Proceedings of the eleventh ACM SIGPLAN symposium on Principles and practice of parallel programming
| Hi-index | 0.00 |
In this paper, we introduce the concept of Redundant Array of Inexpensive Databases (RAIDb). RAIDb is to databases what RAID is to disks. RAIDb aims at providing better performance and fault tolerance than a single database, at low cost, by combining multiple database instances into an array of databases. Like RAID, we define and compare different RAIDb levels that provide various cost/performance/fault tolerance tradeoffs. We present a Java implementation of RAIDb called Clustered JDBC or CJDBC. C-JDBC achieves both database performance scalability and high availability at the middleware level without changing existing applications nor database engines.