Reducing problem-solving variance to improve predictability
Communications of the ACM
Timing analysis of MRL: a real-time rule-based system
Real-Time Systems - Special issue: Real-time languages and language-level timing tools and analysis
A survey of research in deliberative real-time artificial intelligence
Real-Time Systems
Analysis of Real-Time Rule-Based Systems with Behavioral Constraint Assertions Specified in Estella
IEEE Transactions on Software Engineering
Response Time Analysis of OPS5 Production Systems
IEEE Transactions on Knowledge and Data Engineering
Estimating the CPU utilization of a rule-based system
WOSP '04 Proceedings of the 4th international workshop on Software and performance
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A key index of the performance of a rule-based program used in real-time monitoring and control is its response time, defined by the longest program execution time before a fixed point of the program is reached from a start state. Previous work in computing the response-time bounds for rule-based programs effectively assumes that all rules take the same amount of firing time. It is also assumed that if two rules are enabled, then either one of them may be scheduled first for firing. These assumptions can result in loose bounds, especially in the case programmers choose to impose a priority structure on the set of rules. In this paper, we remove the uniform-firing-cost assumption and discuss how to get tighter bounds by taking rule-priority information into account. We show that the rule-suppression relation we previously introduced can be extended to incorporate rule-priority information. A bound-derivation algorithm for programs whose potential-trigger relations satisfy an acyclicity condition is presented, followed by its correctness proof and an analysis example.