Virtual Data Warehouse Modeling Using Petri Nets for Distributed Decision Making

A decision maker wants the pool of data at the finger tip while making the decision. In state of the art applications, decision making is no more a centralized process. Distribution of resources is a challenge before the system designers. Besides, for timely analyzing the distributed data, a robust query processing system along with the physical storage with schema definitions are also necessary. In the present state of business process skills, technologies, processes, applications and practices all are falling under the categories of competitive intelligence. In short BI aims to support better business decision-making. In this paper we propose an analytical model using Petri Net for distributed data management in a data warehouse to ease the OLAP (Online Analytical Processing) operations. Some of the properties of the model like safeness, boundedness, liveness and conservativeness are also verified..

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