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Petri Net Reliability Models for CORBA Wireless Networks

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Abstract

Since the dynamic behavior of wireless networks inherits different communication patterns for the execution processes of the desired parallel tasks and the occurrence processes of handoff operations, the available reliability metrics are not applicable to study and analyze such networks. Therefore, in this paper, we propose a novel Petri net modeling methodology for accurately calculating the reliability of wireless networks that incorporate theses aspects, such as wireless CORBA network. The proposed reliability methodology is developed based on using the End-to-End Expected Instantaneous Reliability (EIR) measure. The EIR has the capability to measure the reliability of wireless networks that incorporate the handoff processes as well as the service processes. In the proposed technique, we firstly build Generalized Stochastic Petri Net (GSPN) performance model for describing the different communication pattern that can occur among the various network resources under the execution of parallel tasks. Secondly, we build GSPN performance model for describing the handoff communication processes among the various network resources. Finally, we build generic reliability model consists of the following parts: the first part describes the execution of the desired parallel tasks, the second part illustrates the mobility characteristic introduced by handoff processes, and the third part describes the dynamic behavior of failure processes of network resources. The developed model has the capability to accurately describe the occurrence of many handoff processes in CORBA network. We study and analyze the various reliability results as well as the performance results obtained from the developed GSPN models under the effect of communication distance among the CORBA network resources.

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Correspondence to Ahmed Samir Koriem.

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Koriem, A.S., Tarrad, I.F. & Farahat, H. Petri Net Reliability Models for CORBA Wireless Networks. Wireless Pers Commun 82, 293–325 (2015). https://doi.org/10.1007/s11277-014-2209-x

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