Modelling and Simulation of Queuing Models through the concept of Petri Nets


In recent years Petri Nets has been in demand due to its visual depiction. Petri Nets are used as an effective method for portraying synchronization, a concurrency between different system activities. In queuing models Petri networks are used to represent distributed modeling of the system and thus evaluate their performance. By specifying suitable stochastic Petri Nets models, the authors concentrate on representing multi-class queuing systems of various queuing disciplines. The key idea is to define SPN models that simulate a given queue discipline 's behavior with some acceptable random choice. Authors have find system queuing with both a single server and multiple servers with load-dependent service rate. Petri networks in the queuing model have enhanced scalability by combining queuing and modeling power expressiveness of 'petri networks.' Examples of application of SPN models to performance evaluation of multiprocessor systems demonstrate the utility and effectiveness of this modeling method. In this paper, authors have made use of Stochastic Petri nets in queuing models to evaluate the performance of the system.
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Siddiqui, S., Darbari, M., & Yagyasen, D. (2020). Modelling and Simulation of Queuing Models through the concept of Petri Nets. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 9(3), 17–28. Retrieved from

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Author Biographies

Shadab Siddiqui

BBD University
Shadab Siddiqui is pursuing his Doctorate in computer science from BBD University and has done M. Tech inComputer Sci. & Engineering from Integral University, Lucknow India. He has done his B.Tech at Uttar PradeshTechnical University, Lucknow, India. He has been working as an Assistant professor of Computer Science at BBDNITM, Lucknow. He has total academic teaching experience of more than 6 years and industry experience of 4 years with many publications in reputed, peer reviewed National and International Journals. His areas of interest include cloud computing, database management system, wireless networks, and computer networks. He also has data analytics experience in Rapid Miner, Tableau, and WEKA.

Manuj Darbari

Manuj Darbari (PhD) is a Professor at Computer Science & Engineering Department, BBD University, Lucknow.He received a Bachelor of Engineering in Electronics Engineering from Amravati University, Maharashtra, India (1993), and Master of Engineering in Digital Systems from MNNIT, Allahabad University, Allahabad, UP, India (1995). He has done his PhD in Information Science from Birla Institute of Technology, Mesra, Ranchi (2011). He has total academic teaching experience of more than 20 years with many publications in reputed, peer reviewed national and international journals. He has been the reviewer for IEEE, Inderscience and many other international peer reviewed journal and he has authored 3 books. His areas of interest include cloud computing, soft computing and software engineering

Diwakar Yagyasen

Diwakar Yagyasen (PhD) is an Associate Professor of Computer Science & Engineering Department, BBDNITM,Lucknow, Affiliated to Uttar Pradesh Technical University/ Gautam Buddha Technical University. He received his B.Tech. degree at HBTI, Kanpur in Computer Science & Engineering (1998), and M.Tech. degree in Electronics Engineering from KNIT, Sultanpur (2008). His research interests are in human computer interaction, mobile computing and web semantics, cloud computing, soft computing, software engineering and digital image processing. He has total 16 years of teaching experience with many publications in reputed, peer reviewed national and international journals. He also has data analytics experience in Rapid Miner, Tableau, and WEKA.