Showing 5 open source projects for "event processing"

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  • 1

    Open Event Machine

    An event driven processing runtime for multicore

    Deprecated - see new repository in GitHub instead: https://github.com/openeventmachine/em-odp Open Event Machine (OpenEM or EM) is an architectural abstraction and framework of an event driven multicore optimized processing concept originally developed for networking. It offers an easy programming concept for scalable and dynamically load balanced multicore data plane applications with a very low overhead run-to-completion principle.
    Downloads: 0 This Week
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  • 2
    TeleScope

    TeleScope

    XML Data Stream Broker/Replicator

    TeleScope is the efficient intensive-load XML data stream broker, replicator and simple event processing platform (SEP) written in C for the Fedora 17-18, Slackware 13-14, Red Hat Enterprise Linux 6 (RHEL-6) Linux distributions. The platform is intended to be operated upon the single number/word values and is not meant to be deployed for full-text XML stream analysis. TeleScope has internal query language with a set of standard logical operators that allows to construct relatively complex query expressions. ...
    Downloads: 3 This Week
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  • 3
    HOOPLE is a portable collection of C++ source code, featuring thread-safe objects for collections and event processing, RPC-style plugin-based encrypted networking (CROMP / octopus), bookmark collection management utilities, and a lot of other cool stuff. This is the project page for HOOPLE version 1, which was retired on September 25 2010. The code supposedly still builds on both Linux (with gnu gcc) and on Windows (with ms visual studio).
    Downloads: 0 This Week
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  • 4
    The Open Pervasive Computing Environment facilitates the creation of distributed context-sensitive systems (inc. embedded). It provides a number of frameworks for creating complex event processing systems driving the development of ubiquitous technology.
    Downloads: 0 This Week
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  • 5
    StreamMine is a distributed event processing (streaming) infrastructure. You can create low-latency, fault-tolerant stream processing functionality with any stream-oriented operators that can be implemented in Python.
    Downloads: 0 This Week
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