World renowned leaders in the field provide an accessible introduction to the use of Generalized Stochastic Petri Nets (GSPNs) for the performance analysis of diverse distributed systems. Divided into two parts, it begins with a summary of the major results in GSPN theory. The second section is devoted entirely to application examples which demonstrate how GSPN methodology can be used in different arenas. A simple version of the software tool used to analyse GSPN models is included with the book and a concise manual for its use is presented in the later chapters.

Any engineer who is responsible for the design and development of discrete systems, such as embedded software for control or telecommunication systems, knows that the most important quality of the final product is that it be functionally correct. Once assured that the system behaves correctly, it is also important that it be efficient in that its running cost is minimal or is optimum in whatever quanititive measure is chosen. Stochastic Petri nets have been developes over the last decade with exactly these objectives in mind.This book is an introduction to Stochastic Petri nets and arose out of a desire by the authors to collect all one needs to understand Stochastic Petri net theory in one volume. The intention of this book is not to give an overview of several or all Stochastic Petri net models appearing in the literature, but to stress a combined view of functional and performance analysis in the context of some Stochastic Petri net models.The book contains a reference to several Stochastic Petri net tools which are available to help the reader apply the theory contained in this volume.USP: Für sicher funktionierende DV-Systeme

This SpringerBrief presents research in the application of Stochastic Petri Nets (SPN) to the performance evaluation of wireless networks under bursty traffic. It covers typical Quality-of-Service performance metrics such as mean throughput, average delay and packet dropping probability. Along with an introduction of SPN basics, the authors introduce the key motivation and challenges of using SPN to analyze the resource sharing performance in wireless networks. The authors explain two powerful modeling techniques that treat the well-known state space explosion problem: model decomposition and iteration, and model aggregation using stochastic high-level petri nets. The first technique assists in performance analysis of opportunistic scheduling, Device-to-Device communications with full frequency reuse and partial frequency reuse. The second technique is used to formulate a wireless channel mode for cross-layer performance analysis in OFDM system. Stochastic Petri Nets for Wireless Networks reveals useful insights for the design of radio resource management algorithms and a new line of thinking for the performance evaluation of future wireless networks. This material is valuable as a reference for researchers and professionals working in wireless networks and for advanced-level students studying wireless technologies in electrical engineering or computer science.