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NetChat Communications Systems Steven Fuqua Barnett Trzcinski Andy Street.

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Presentation on theme: "NetChat Communications Systems Steven Fuqua Barnett Trzcinski Andy Street."— Presentation transcript:

1 NetChat Communications Systems Steven Fuqua Barnett Trzcinski Andy Street

2 Abstract Development of a standards-based, modular, networked communications protocol. Use of this NetChat Protocol (NCP) to create an application to allow end-users to communicate/distribute information over various media  Instant messaging  E-mails  News

3 Design Extensible – Use of user-creatable modules to provide means of adding functionality Modular – Separate plugins for various means of communication Standardized – Use of XML to encode messages as they relate to specific modules in a standardized protocol

4 Construction Server – Coded in Ruby, handles connections and parses client information Clients – Connect to the Ruby server, receive user input, parse it, and relay it to the server for processing  Py-Client – Coded in Python, provides a text- based interface for testing new features  J-Client – Coded in Java, sports a graphical interface for a production-quality release

5 Server – Barnett Trzcinski Scripted in Ruby  Standard library  Opt-parsing based configuration Allows for SSL/NCP connections as needed Threaded to handle multiple connections Interprets received messages

6 Py-Client – Steven Fuqua Scripted in Python 2.5  Twisted networking framework  Dynamic reload functionality Text-based interface, serves as test bed Takes specialized commands to communicate with the server Uses method reflection for commands and message parsing

7 J-Client – Andy Street Coded in Java  Xerces XML library GUI, release quality client Threaded to send and receive messages Uses method reflection for server command parsing Use of XML data objects to convey information

8 Analysis XML serves as a flexible medium with which to encode data Modularized format allows for easily updating or future expansion Could potentially add functionality to network servers, distributing client load

9 Images – Quiet Server

10 Images – Verbose Server

11 Images – Quiet Py-Client

12 Images – Verbose Py-Client

13 Images – J-Client


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