Data caching issues in an information retrieval system
ACM Transactions on Database Systems (TODS)
Principles and realization strategies of multilevel transaction management
ACM Transactions on Database Systems (TODS)
Parallel database systems: open problems and new issues
Distributed and Parallel Databases - Special issue: Research topics in distributed and parallel databases
A critique of ANSI SQL isolation levels
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Distributed and parallel database systems
ACM Computing Surveys (CSUR)
Implementing cooperative prefetching and caching in a globally-managed memory system
SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Principles of distributed database systems (2nd ed.)
Principles of distributed database systems (2nd ed.)
Replica Consistency in Lazy Master Replicated Databases
Distributed and Parallel Databases
Divergence Control for Epsilon-Serializability
Proceedings of the Eighth International Conference on Data Engineering
Cache-Aware Query Routing in a Cluster of Databases
Proceedings of the 17th International Conference on Data Engineering
Scalable Distributed Query and Update Service Implementations for XML Document Elements
Eleventh International Workshop on Research Issues in Data Engineering on Document Management for Data Intensive Business and Scientific Applications
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
Offering a Precision-Performance Tradeoff for Aggregation Queries over Replicated Data
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Scalable Replication in Database Clusters
DISC '00 Proceedings of the 14th International Conference on Distributed Computing
Checking Integrity Constraints in Multidatabase Systems with Nested Transactions
CooplS '01 Proceedings of the 9th International Conference on Cooperative Information Systems
Efficient Numerical Error Bounding for Replicated Network Services
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
The Ensemble System
Adaptive middleware for data replication
Proceedings of the 5th ACM/IFIP/USENIX international conference on Middleware
Preventive Replication in a Database Cluster
Distributed and Parallel Databases
The leganet system: Freshness-aware transaction routing in a database cluster
Information Systems
Adaptive hybrid partitioning for OLAP query processing in a database cluster
International Journal of High Performance Computing and Networking
Replica refresh strategies in a database cluster
VECPAR'06 Proceedings of the 7th international conference on High performance computing for computational science
Towards high performance and high availability clusters of archived stream
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Scaling up the preventive replication of autonomous databases in cluster systems
VECPAR'04 Proceedings of the 6th international conference on High Performance Computing for Computational Science
Apuama: combining intra-query and inter-query parallelism in a database cluster
EDBT'06 Proceedings of the 2006 international conference on Current Trends in Database Technology
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We consider the use of a cluster system for Application Service Provider (ASP). In the ASP context, hosted applications and databases can be update-intensive and must remain autonomous. In this paper, we propose a new solution for parallel processing with autonomous databases, using a replicated database organization. The main idea is to allow the system administrator to control the tradeoff between database consistency and application performance. Application requirements are captured through execution rules stored in a shared directory. They are used (at run time) to allocate cluster nodes to user requests in a way that optimizes load balancing while satisfying application consistency requirements. We also propose a new preventive replication method and a transaction load balancing architecture which can trade-off consistency for performance using execution rules. Finally, we discuss the on-going implementation at LIP6 using a Linux cluster running Oracle 8i.