Queuing Network Models Analysis Based on CPN
Lianzhang Zhu, Hua Zhang
Abstract
Lianzhang Zhu, Hua Zhang
Abstract
A Queuing Network Models analysis method based on CPN is put forward. The method transformed queuing network models to hierarchical Colored Petri Nets model. It added monitors into models to monitor the state of networks using CPN-Tools and collected data during simulation. Then performance of queuing network is evaluated using collected data and simulation reports. This method can not only avoid the problem of the state space, but also adapt to solve large-scale queuing network models because of hierarchical structure.
OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
A Queuing Network Models analysis method based on CPN is put forward. The method transformed queuing network models to hierarchical Colored Petri Nets model. It added monitors into models to monitor the state of networks using CPN-Tools and collected data during simulation. Then performance of queuing network is evaluated using collected data and simulation reports. This method can not only avoid the problem of the state space, but also adapt to solve large-scale queuing network models because of hierarchical structure.
Key concepts: Computer science, Queueing theory, State space, State (computer science), Queue management system, Fair queuing, Distributed computing, Network model