Active Rules in Database Systems
Active Rules in Database Systems
Capacity Planning for Web Services: metrics, models, and methods
Capacity Planning for Web Services: metrics, models, and methods
Active Database Systems: Triggers and Rules for Advanced Database Processing
Active Database Systems: Triggers and Rules for Advanced Database Processing
Performance Evaluation of Rule Semantics in Active Databases
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
The Active Database Management System Manifesto: A Rulebase of ADBMS Features
RIDS '95 Proceedings of the Second International Workshop on Rules in Database Systems
A Designer's Benchmark for Active Database Management Systems: oo7 Meets the BEAST
RIDS '95 Proceedings of the Second International Workshop on Rules in Database Systems
Performance Evaluation of Active Database Management Systems Usingthe BEAST Benchmark
Performance Evaluation of Active Database Management Systems Usingthe BEAST Benchmark
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Implementation and performance evaluation of a real-time e-brokerage system
RTSS'10 Proceedings of the 21st IEEE conference on Real-time systems symposium
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Embedded systems operating on high data workloads are becoming pervasive. ECA rule engines provide a flexible environment to support the management, reconfiguration and execution of business rules. However, modeling the performance of a rule engine is challenging because of its reactive nature. In this work we present the performance analysis of an ECA rule engine in the context of a supply chain scenario. We compare the performance predictions against the measured results obtained from our performance tool set, and show that despite its simplicity the performance prediction model is reasonably accurate.