An Extensible Editor and Simulation Engine for Petri Nets: Renew

Kummer, Olaf; Wienberg, Frank; Duvigneau, Michael; Schumacher, Jörn; Köhler, Michael; Moldt, Daniel; Rölke, Heiko; Valk, Riidiger

doi:10.1007/978-3-540-27793-4_29

Cited by 97 publications

(51 citation statements)

References 11 publications

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“…Reference nets are a particular type of Petri net that supports Java code inscriptions, which are typically embedded and also Reference nets can be interpreted by Renew [9], a Java-based editor and simulator. The most important consequence of this fact is that Petri net based models become executable, converting the formal specification models into rapid prototyped systems.…”

Section: Background: Reference Netsmentioning

confidence: 99%

Extending CometCloud to Process Dynamic Data Streams on Heterogeneous Infrastructures

Tolosana-Calasanz

Diaz-Montes

Rana

et al. 2014

2014 International Conference on Cloud and Autonomic Computing

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Abstract-Coordination of multiple concurrent data stream processing, carried out through a distributed Cloud infrastructure, is described. The coordination (control) is carried out through the use of a Reference net (a particular type of Petri net) based interpreter, implemented alongside the CometCloud system. One of the benefits of this approach is that the model can also be executed directly to support the coordination action. The proposed approach supports the simultaneous processing of data streams and enables dynamic scale-up of heterogeneous computational resources on demand, while meeting the particular quality of service requirements (throughput) for each data stream. We assume that the processing to be applied to each data stream is known a priori. The workflow interpreter monitors the arrival rate and throughput of each data stream, as a consequence of carrying out the execution using CometCloud. We demonstrate the use of the control strategy using two key actions -allocating and deallocating resources dynamically based on the number of tasks waiting to be executed (using a predefined threshold). However, a variety of other control actions can also be supported and are described in this work. Evaluation is carried out using a distributed CometCloud deployment -where the allocation of new resources can be based on a number of different criteria, such as: (i) differences between sites, i.e. based on the types of resources supported (e.g. GPU vs. CPU only, FPGAs, etc), (ii) cost of execution; (iii) failure rate and likely resilience, etc.

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Section: Background: Reference Netsmentioning

confidence: 99%

Extending CometCloud to Process Dynamic Data Streams on Heterogeneous Infrastructures

Tolosana-Calasanz

Diaz-Montes

Rana

et al. 2014

2014 International Conference on Cloud and Autonomic Computing

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“…Renew [14,13], Mulan [11,18], and Capa [7] are the condicio sine qua non for the entire Petri net-based AOSE process. Renew can be thought of as both the virtual machine (VM) and the integrated development environment (IDE) for all our Petri net-based development.…”

Section: Tool Basismentioning

confidence: 99%

A Monitoring Toolset for Paose

Cabac

Dörges

Rölke

2008

Applications and Theory of Petri Nets

Self Cite

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Paose (Petri net-based Agent-Oriented Software Engineering) combines the paradigm of AOSE (Agent-Oriented Software Engineering, see [10]) with the expressive power of Petri nets -reference nets [12] to be more precise. While AOSE is a powerful approach when it comes to designing and developing distributed (agent) applications, it does not address the problems specific to debugging, monitoring, and testing of these applications, i.e. no global state of the system and very dynamic operating conditions. To tackle these problems, two tools have been developed in the context of Paose, which are presented in this work. Firstly, this paper will give a short overview over the interrelated set of tools, which exists already and supports Petri net-based AOSE. The tools are centered around the Petri net-based multi-agent system development and runtime environment Renew / Mulan / Capa. Secondly, Mulan-Viewer and Mulan-Sniffer will be presented in more detail -two tools to address the issues encountered during debugging, monitoring, and testing agent applications. Both tools are first class members of the aforementioned family. The first tool, Mulan-Viewer, deals with the introspection of agents and agent behaviors, while it also offers rudimentary features for controlling the agent-system. The Mulan-Sniffer as the second tool places emphasis on tracing, visualizing, and analyzing communication between all parts of the multi-agent application and offers interfaces for more advanced methods of analysis, such as process mining. Both Mulan-Viewer and Mulan-Sniffer are realized as Renew plugins that can also be extended by other plugins.

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“…The plug-in system along with the decomposed application has been released as Renew 2.0 and presented from the user's point of view in [10]. In this section we want to show how the concepts developed in Section 3 are applied to the Renew plug-in system.…”

Section: Renew Plug-in Architecturementioning

confidence: 99%

Applying Multi-agent Concepts to Dynamic Plug-In Architectures

Cabac

Duvigneau

Moldt

et al. 2006

Agent-Oriented Software Engineering VI

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Abstract. In this work we present the basic concepts for a dynamic plug-in-based software architecture using concepts from the Petri netbased MAS framework Mulan. By transferring the concepts of agentorientation to a plug-in-based architecture we are able to design our application and the plug-in-based system on an abstract level. Moreover, general problems that evolve from a highly dynamic and configurable architecture have been solved by basing the conceptual design on multi-agent principles. In this paper we discuss the general properties of extensible systems and the benefits that can be achieved when applying the multi-agent view to their architecture. In addition to the conceptual modeling of such architectures, we provide a practical example where the concept has been successfully applied in the development of the latest release of Renew. Through the introduction of the multi-agent concepts, the new architecture is now -at runtime -dynamically extensible by registering plug-ins with the management system.

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An Extensible Editor and Simulation Engine for Petri Nets: Renew

Cited by 97 publications

References 11 publications

Extending CometCloud to Process Dynamic Data Streams on Heterogeneous Infrastructures

Extending CometCloud to Process Dynamic Data Streams on Heterogeneous Infrastructures

A Monitoring Toolset for Paose

Applying Multi-agent Concepts to Dynamic Plug-In Architectures

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