Judicael Ribault

SLMToolBox: enterprise service process modelling and simulation by coupling DEVS and services workflow

Market competition is pushing companies to differentiate themselves from competitors by developing customised services in addition to their original production (either physical or digital). It drives the emergence of service process modelling to describe precisely the composition of services. To this end, this paper presents the key concept of the transformation of EA* and BPMN models into simulation workflows. Then, it introduces the implementation done with the SLMToolBox that is a service graphical modeller, model transformer, and simulation engine. In addition, enterprises are facing situations where future (undeveloped yet) enterprise services need to be integrated with existing ones. To go further and for a better integration and deployment of service models in the enterprise, we propose to combine service process M&S with service calls execution workflow. To achieve that goal, we are mashing up simulation of services modelled with existing enterprise web services calls.

Generating Multidimensional Social Network to Simulate the Propagation of Information

Social simulation implies two preconditions: determining a population and simulate the information diffusion within it. A population represents a group of interconnected individuals sharing information. In this paper, the population we generate is detailed by socio-cultural features, specifically the way that people tend to link together. To this end, the use of a social network is a little bit restrictive: people are linked by only one relationship. Multidimensional Social Networks (MSN) model 3D social networks where each dimension represent a kind of relationship [1]. The MSN architecture allows us to better represent the diversity of humans relations but also define distinctive rules for the simulation of the message diffusion. The inner idea is that information disseminates differently according to the links through which the information propagates. So, we present in this paper the modeling of our MSN based on social science and a simulation using propagation rules for each dimension.

OSA: an integration platform for component-based simulation

Many discrete-event simulators are developed concurrently, but with identical or similar purpose. This poster presents the Open Simulation Architecture (OSA), a discrete-event component-based simulation platform whose goal is to favor the reuse and integration of simulation software components and models. To favor reuse, OSA uses a layered approach to combine the modeling, simulation, and related concerns, such as instrumentation or deployment. OSA is both a testbed for experimenting new simulation techniques and a tool for real case studies. The ability of OSA to support challenging studies is illustrated by a Peer-to-peer system case study involving millions of components.

Discrete Event System Specification-based framework for modeling and simulation of propagation phenomena in social networks: application to the information spreading in a multi-layer social network

The diffusion of information is defined as the communication process by which an idea or information spreads within a social system and impacts the behavior of social actors (individuals). The social interaction plays an important role in studying the propagation of information and how it influences people. When an informational event occurs, it can either die out quickly or have significant impact on a population. The interactions could be supported by physical proximity contact, remote collaboration, any type of social meetings, and some forms of verbal or written communication, depending on the situations. Institutions and firms search to understand and predict the impact of information propagation on individuals. Agent-based modeling is a powerful approach for studying such a collective process. However, existing models oversimplify the cultural attributes, the different types of links, and information content, despite the evidence of their central role in the diffusion process. In this context, great benefits could be derived from the exploitation of an individual’s personality and cultural values in the diffusion models. In this paper, we describe a new architecture for an agent-based model using the DEVS (Discrete Event System Specification) framework and show how this architecture is flexible and can support the simulation of the dissemination process. In more detail, we define a set of models of individuals characterized by a set of state variables to represent the behavior of an individual and the individual’s network within a multi-layer social network. Then, we start by introducing the platform architecture, specifically designed to simulate message propagation in a multi-layer network. Finally, a military scenario of message diffusion during a stabilization phase is used to test our DEVS models on the platform and the relevancy of the simulation results.

Diffusion Process in a Multi-Dimension Networks: Generating, Modelling, and Simulation

Social networks simulation implies two preconditions: (1) determining a population behavior and (2) simulating the information diffusion within it. A population is defined by a group of interconnected individuals possessing individual and structural behaviors in regard to information sharing. In this paper, the population generated is defined by socio-cultural features, specifically the way that people tend to link together. To this end, the definition of a unique social network is too restrictive: realistically, people are not interlinked by only one relationship. To overcome this limitation, multidimensional social networks (MSN) have been proposed to model social interactions where each dimension represents a category of relationship. The MSN architecture allows not only to better represent the diversity of human’s relations but also to define distinctive rules for the simulation of the message diffusion. We study a model of information spreading on multiplex networks, in which agents interact through multiple interaction channels or with different relationships (layers). The inner idea is that information disseminates differently according to the category of links through which the information propagates. So, this paper presents the modelling of an MSN based on social science and a simulation using propagation rules for each dimension.

Time-based orchestration of workflow, interoperability with G-Devs/Hla

Enterprises information systems (EIS) take benefits of latest advanced of web services and Internet of things to improve information retrieving and gathering for decision making. Furthermore, EIS should permit a more comprehensive information routing in the company within an electronic workflow in order to save time, cost and to reduce production impact on the environment. Such software has to interact frequently with real world data acquired by different sensors. Nevertheless this combination of software and hardware devices frequently faces interoperability problems. Also, testing and validating the EIS is not trivial without testing in real condition that can lead to deploy the large system. Authors assumed that testing and validating part of the system behaviour can be anticipated progressively by simulation, permitting then more progressive and confident system integration. This paper proposes to introduce a new workflow demonstration platform to combine simulation world with real world interacting with sensor, human interfacing and web service calls. In detail, this paper proposes to combine the Taverna Workflow tool, which handles and triggers web services call proposed by a platform server, to other software components. This combination has revealed one drawback of major workflows orchestrators; they do not provide time management facilities to handle synchronization during parallel execution of interdependent workflows. To overcome that limitation a clock ordering solution has been added by reusing G-DEVS/HLA to synchronize workflows running in parallel. The imbrications of G-DEVS M&S with Taverna workflow is now operating thanks to HLA. This work is validated by demonstrating the interoperability and the complementarity of these approaches on a logistic platform study case.