Secure-CITI Critical Information-Technology Infrastructure
dg.o '06 Proceedings of the 2006 international conference on Digital government research
ViP: A User-Centric View-Based Annotation Framework for Scientific Data
SSDBM '08 Proceedings of the 20th international conference on Scientific and Statistical Database Management
Partition-based workload scheduling in living data warehouse environments
Information Systems
Tuning QoD in stream processing engines
ADC '10 Proceedings of the Twenty-First Australasian Conference on Database Technologies - Volume 104
Requirement-based query and update scheduling in real-time data warehouses
WAIM'11 Proceedings of the 12th international conference on Web-age information management
UpStream: storage-centric load management for streaming applications with update semantics
The VLDB Journal — The International Journal on Very Large Data Bases
Satisfaction-based query replication
Distributed and Parallel Databases
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Web-database systems are nowadays an integral part of everybody's life, with applications ranging from monitoring/ trading stock portfolios, to personalized blog aggregation and news services, to personalized weather tracking services. For most of these services to be successful (and their users to be kept satisfied), two criteria need to be met: user requests must be answered in a timely fashion and using fresh data. This paper presents a framework to balance both requirements from the users' perspective. Toward this, we propose a user satisfaction metric to measure the overall effectiveness of the Web-database system. We also provide a set of algorithms to dynamically optimize this metric, through query admission control and update frequency modulation. Finally, we present extensive experimental results which compare our proposed algorithms to the current state of the art and show that we outperform competitors under various workloads (generated based on real traces) and user requirements.