Complexity of answering queries using materialized views
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Making views self-maintainable for data warehousing
DIS '96 Proceedings of the fourth international conference on on Parallel and distributed information systems
Scrambling query plans to cope with unexpected delays
DIS '96 Proceedings of the fourth international conference on on Parallel and distributed information systems
Maintaining Temporal Views over Non-Temporal Information Sources for Data Warehousing
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Proceedings of the Fourth International Conference on Data Engineering
Distributed Query Processing Optimization Objectives
Proceedings of the Fourth International Conference on Data Engineering
Optimizing Queries with Materialized Views
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Managing periodically updated data in relational databases: a stochastic modeling approach
Journal of the ACM (JACM)
Profile-Based Data Delivery for Web Applications
EDBT '02 Proceedings of the Worshops XMLDM, MDDE, and YRWS on XML-Based Data Management and Multimedia Engineering-Revised Papers
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
A framework for analysis of data freshness
Proceedings of the 2004 international workshop on Information quality in information systems
Using latency-recency profiles for data delivery on the web
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
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In recent years, query processing has become more complex as data sources are frequently replicated and data are periodically processed and embedded within several data sources simultaneously. These trends have necessitated the optimization of techniques for query processing in order to exploit these new alternatives. Accordingly, this paper introduces an improved query optimization technique, which is capable of assessing query plans that use both current and obsolescent data. In particular, we provide a cost model by which the trade-offs of using obsolescent materialized views can be evaluated and we also discuss the method's applicability to contemporary query optimization techniques.