Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Balancing push and pull for data broadcast
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
Adaptive push-pull: disseminating dynamic web data
Proceedings of the 10th international conference on World Wide Web
Adaptive precision setting for cached approximate values
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Best-effort cache synchronization with source cooperation
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
fAST Refresh using Mass Query Optimization
Proceedings of the 17th International Conference on Data Engineering
Quality-driven Integration of Heterogenous Information Systems
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
MTCache: Transparent Mid-Tier Database Caching in SQL Server
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Relaxed currency and consistency: how to say "good enough" in SQL
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
On demand synchronization and load distribution for database grid-based web applications
Data & Knowledge Engineering
Load Balancing for Multi-tiered Database Systems through Autonomic Placement of Materialized Views
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
A taxonomy of Data Grids for distributed data sharing, management, and processing
ACM Computing Surveys (CSUR)
Relaxed-currency serializability for middle-tier caching and replication
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Scheduling Updates in a Real-Time Stream Warehouse
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Information Value-Driven Near Real-Time Decision Support Systems
ICDCS '09 Proceedings of the 2009 29th IEEE International Conference on Distributed Computing Systems
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Quality-driven query answering for integrated information systems
Quality-driven query answering for integrated information systems
JSSPP'05 Proceedings of the 11th international conference on Job Scheduling Strategies for Parallel Processing
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Many large companies, especially those in financial and insurance service sectors, approach the market with a decentralized management structure, such as by line of business or geographical market segments. However, these companies require access to distributed and possibly heterogeneous data sources for corporate level decision making. In this paper, we focus on challenges of supporting a decision support system (DSS) based on a hybrid approach (i.e. a federation system with replication of frequently accessed remote data sources) for time-sensitive agile business intelligence applications. The response time requirement (and a realistic goal) for such a DSS is near real time (i.e. 2 ~ 3 minutes to 20 ~ 30 minutes). The users of a DSS care about not only the response time but also the time stamp of the business operation reports since out-dated reports introduce uncertainty and risks to decision-making. Thus, the information value of a report decreases as time passes. We present a framework of correlation aware synchronization of replicas used in DSS to optimize information values of business reports as a whole. The framework exploits correlation of usage and synchronization latency of replicas in a single query and a workload of queries for an optimal synchronization schedule. We have conducted extensive evaluations based on both TPC-H and synthetic workload. The proposed correlation aware synchronization effectively improves up to 50% of information value comparing with fixed synchronization plans on average.