379,916 research outputs found

    The hierarchical system of distributed objects work control

    Get PDF
    The common attribute of the geo-distributed systems (GS) is the way of their organization. The structure of GS is usually an up-down depended hierarchy where the processes of their inter work control are implemented as two sides (up-down, down-up) information exchange. As a result, the subcomponents of typical GS are in some distance from each other. The main clue of GS manager is the quality of information process flow and a medium of data exchange. The state of art of data describes technologies, e.g. XML (eXtensible Markup Language) [1, 2, 3] and the progress of the Internet interoperabilitation, especially in Web Services [4], gives for the designers some new opportunities of application design. In this way, the layer of data interchange of GS subcomponents will migrate to the next/new level of abstraction. Its consequence is ability of reorganization of the controlled object structures and modelling of dimensions extends.This article presents a model of hierarchical system of distributed objects work control (HCS). The model is based on a cube of data repository and dedicated web serviced methods. This model is used in the investigations of the electric energy consumption control by the author

    BINet: Multi-perspective Business Process Anomaly Classification

    Full text link
    In this paper, we introduce BINet, a neural network architecture for real-time multi-perspective anomaly detection in business process event logs. BINet is designed to handle both the control flow and the data perspective of a business process. Additionally, we propose a set of heuristics for setting the threshold of an anomaly detection algorithm automatically. We demonstrate that BINet can be used to detect anomalies in event logs not only on a case level but also on event attribute level. Finally, we demonstrate that a simple set of rules can be used to utilize the output of BINet for anomaly classification. We compare BINet to eight other state-of-the-art anomaly detection algorithms and evaluate their performance on an elaborate data corpus of 29 synthetic and 15 real-life event logs. BINet outperforms all other methods both on the synthetic as well as on the real-life datasets

    Discrete event simulation tool for analysis of qualitative models of continuous processing systems

    Get PDF
    An artificial intelligence design and qualitative modeling tool is disclosed for creating computer models and simulating continuous activities, functions, and/or behavior using developed discrete event techniques. Conveniently, the tool is organized in four modules: library design module, model construction module, simulation module, and experimentation and analysis. The library design module supports the building of library knowledge including component classes and elements pertinent to a particular domain of continuous activities, functions, and behavior being modeled. The continuous behavior is defined discretely with respect to invocation statements, effect statements, and time delays. The functionality of the components is defined in terms of variable cluster instances, independent processes, and modes, further defined in terms of mode transition processes and mode dependent processes. Model construction utilizes the hierarchy of libraries and connects them with appropriate relations. The simulation executes a specialized initialization routine and executes events in a manner that includes selective inherency of characteristics through a time and event schema until the event queue in the simulator is emptied. The experimentation and analysis module supports analysis through the generation of appropriate log files and graphics developments and includes the ability of log file comparisons

    Translating semantic web service based business process models

    Get PDF
    We describe a model-driven translation approach between Semantic Web Service based business process models in the context of the SUPER project. In SUPER we provide a set of business process ontologies for enabling access to the business process space inside the organisation at the semantic level. One major task in this context is to handle the translations between the provided ontologies in order to navigate from different views at the business level to the IT view at the execution level. In this paper we present the results of our translation approach, which transforms instances of BPMO to instances of sBPEL
    • …
    corecore