A growing number of applications have become reliant or can benefit from monitoring data streams. Data streams are potentially unbounded in size, hence, Data Stream Management Sy...
Fatih Altiparmak, David Chiu, Hakan Ferhatosmanogl...
— When the tasks of a mission are interrelated and subject to several resource constraints, more efforts are needed to coordinate robots towards achieving the mission than indepe...
Abstract. Ripple Down Rules is a practical methodology to build knowledgebased systems, which has proved successful in a wide range of commercial applications. However, little work...
In this paper we propose a novel scheduling framework for a real-timeenvironmentthat experiences dynamic changes. Thisframework is capable of adjusting the system workload in incr...
It is widely recognized that production rules in database systems can be used to automatically maintain derived data such as views. However, writing a correct set of rules for e ci...