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EMF/Net4j 1.0/New and Noteworthy

< EMF
Revision as of 06:20, 29 May 2008 by Stepper.esc-net.de (Talk | contribs) (More information)

Net4j 1.0 (available as part of Ganymede and also separately on the EMF site) contains a number of important and long-awaited features, changes, and enhancements.

Core Features

  • Extensible signalling framework for application protocols (IProtocol, SignalProtocol)
  • Extensible transport framework for physical transports (IConnector, IAcceptor)
  • Multiplexing of different application protocols (IChannel)
  • Fast, asynchronous and non-blocking buffering kernel (IBuffer)


Transports

  • NIO-based TCP transport implementation (ITCPConnector, ITCPAcceptor)
  • In-process JVM transport implementation (IJVMConnector, IJVMAcceptor)
  • Polling HTTP transport implementation (IHTTPConnector, IHTTPAcceptor)


Examples

  • Extensible collaborations platform with buddy list, chat, fileshare, ...
  • JMS(TM) provider implementation (experimental but functional)


Utilities

  • Caching and monitoring framework
  • Special collections
  • Concurrency support
  • Wiring framework (managed containers)
  • Event framework
  • Factory framework
  • Generic finite state machine (FSM)
  • I/O tools
  • Lifecycle framework
  • Operations and maintenance framework (OM)
    • Platform abstraction (OSGi, Eclipse runtime, stand alone)
    • Bundle abstraction
    • Logging abstraction
    • Tracing abstraction
    • Preferences abstraction
    • Progress monitoring framework
  • Memory sensitivity framework
  • Transactional and notifying registries
  • Extensible security framework
  • Generic transactional operations framework
  • Debugging Tools
    • Remote tracing (OM extension + Eclipse UI)
    • Container view (Eclipse UI)
    • Introspector view (Eclipse UI)
  • Extensible DB abstraction framework
    • Derby DB adapter implementation
    • HSQLDB adapter implementation
    • MySQL adapter implementation


More information

The Net4j project uses dynamically-generated release notes, using Bugzilla and CVS data to create accurate lists of bugs closed in each build. This also allows developers and users to see what files were changed for each bug, by who, and when. For details on how this is done, see Parameter List.



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