Calendar queues: a fast 0(1) priority queue implementation for the simulation event set problem
Communications of the ACM
Continuous queries over append-only databases
SIGMOD '92 Proceedings of the 1992 ACM SIGMOD international conference on Management of data
Synchronizing a database to improve freshness
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
NiagaraCQ: a scalable continuous query system for Internet databases
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Continuously adaptive continuous queries over streams
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Best-effort cache synchronization with source cooperation
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Dynamic Pipeline Scheduling for Improving Interactive Query Performance
Proceedings of the 27th International Conference on Very Large Data Bases
Update Propagation Strategies for Improving the Quality of Data on the Web
Proceedings of the 27th International Conference on Very Large Data Bases
Tribeca: A Stream Database Manager for Network Traffic Analysis
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Chain: operator scheduling for memory minimization in data stream systems
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Gigascope: a stream database for network applications
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Effective page refresh policies for Web crawlers
ACM Transactions on Database Systems (TODS)
Nile: A Query Processing Engine for Data Streams
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Load Shedding for Aggregation Queries over Data Streams
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Exploring the tradeoff between performance and data freshness in database-driven Web servers
The VLDB Journal — The International Journal on Very Large Data Bases
An Adaptive Multi-Objective Scheduling Selection Framework for Continuous Query Processing
IDEAS '05 Proceedings of the 9th International Database Engineering & Application Symposium
UNIT: User-centric Transaction Management in Web-Database Systems
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Efficient scheduling of heterogeneous continuous queries
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Window-aware load shedding for aggregation queries over data streams
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Monitoring streams: a new class of data management applications
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Load shedding in a data stream manager
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Tuple routing strategies for distributed eddies
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Operator scheduling in a data stream manager
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Staying FIT: efficient load shedding techniques for distributed stream processing
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Algorithms and metrics for processing multiple heterogeneous continuous queries
ACM Transactions on Database Systems (TODS)
Minimizing latency and memory in DSMS: a unified approach to quasi-optimal scheduling
SSPS '08 Proceedings of the 2nd international workshop on Scalable stream processing system
Data Quality Aware Queries in Collaborative Information Systems
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
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Quality of Service (QoS) and Quality of Data (QoD) are the two major dimensions for evaluating any query processing system. In the context of data stream management systems (DSMSs), multi-query scheduling has been exploited to improve QoS. In this paper, we are proposing to exploit query scheduling to improve QoD in DSMSs. Specifically, we are presenting a new policy for scheduling multiple continuous queries with the objective of maximizing the freshness of the output data streams and hence the QoD of such outputs. The proposed Freshness-Aware Scheduling of Multiple Continuous Queries (FAS-MCQ) policy decides the execution order of continuous queries based on each query's properties (i.e., cost and selectivity) as well the properties of the input update streams (i.e., variability of updates). Our experimental results have shown that FAS-MCQ can improve QoD by up to 50% compared to existing scheduling policies used in DSMSs. Finally, we propose and evaluate a parametrized version of our FAS-MCQ scheduler that is able to balance the trade-off between freshness and response time according to the application's requirements.