Confucius A Tool Supporting Collaborative Scientific Workflow Composition Abstract

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  • 7/29/2019 Confucius A Tool Supporting Collaborative Scientific Workflow Composition Abstract

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    ABSTRACT

    Modern scientific data management and analysis usually rely on multiple

    scientists with diverse expertise. In recent years, such a collaborative effort is often

    structured and automated by a dataflow-oriented process called scientific workflow.

    However, such workflows may have to be designed and revised among multiple scientists

    over a long time period. Existing tools are single user-oriented and do not support

    workflow development in a collaborative fashion. In this paper, we report our research

    on the enabling techniques in the aspects of collaboration provenance management and

    reproducibility. Based on scientific collaboration ontology, we propose a service-oriented

    collaboration model supported by a set of composable collaboration primitives and

    patterns. The collaboration protocols are then applied to support effective concurrency

    control in the process of collaborative workflow composition. We also report the design

    and development of Confucius, a service-oriented collaborative scientific workflow

    composition tool that extends an open-source, single-user environment.

    EXISTING SYSTEM

    Existing tools are single user-oriented and do not support workflow development

    in a collaborative fashion.

    Existing scientific workflow tools do not particularly support collaborative

    composition. Our investigation found that they are all single user oriented, focusing on

    helping individual scientists construct workflows from available applications and

    services. Facilities that support scientists in collaboratively designing workflows are

    limited.

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    PROPOSED SYSTEM

    In proposed system we propose a service-oriented collaboration model supported

    by a set of composable collaboration primitives and patterns. The collaboration protocols

    are then applied to support effective concurrency control in the process of collaborative

    workflow composition. We also report the design and development of Confucius, a

    service-oriented collaborative scientific workflow composition tool that extends an open-

    source, single-user environment.

    .

    Advantages

    1. User sharing the information to organization users.2. User locks the information.

    Disadvantages

    1. Some users miss use the datas.

    MODULE DESCRIPTION:

    1. Scientific workflow

    2. Collaboration Rules Module

    3. Admin module

    Scientific workflow

    A collaborative effort is often structured and automated by a dataflow-oriented

    process called scientific workflow. Scientific workflows are often dataflow-oriented and

    streamline a collection of scientific tasks to enable and accelerate scientific discovery.

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    Collaboration Rules Module

    In this module, collaboration 1 user sends the request to collaboration 2 users.

    Collaboration 2 user views the request and accepts the request also update the workflow.

    Collaboration 1 user some time locks the data or data link. That time collaboration 2

    users not possible to view the same data. Suppose unlock the data that time another

    collaboration users view data.

    Admin module

    In this module admin, view group request from group owner and also accept thegroup request. Also view user details and group user details.

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    System Configuration:-

    H/W System Configuration:-

    Processor - Pentium III

    Speed - 1.1 GHz

    RAM - 256 MB (min)

    Hard Disk - 20 GBFloppy Drive - 1.44 MB

    Key Board - Standard Windows Keyboard

    Mouse - Two or Three Button Mouse

    Monitor - SVGA

    S/W System Configuration:-

    Operating System : Windows95/98/2000/XP

    Application Server : Tomcat5.0/6.X

    Front End : HTML, Java, Jsp

    Scripts : JavaScript.

    Server side Script : Java Server Pages.

    Database : My sql

    Database Connectivity : JDBC.