Achieving End-to-end Predictability in the TAO Real-time CORBA ORB

  • Authors:
  • Irfan Pyarali;Douglas C. Schmidt;Ron K. Cytron

  • Affiliations:
  • -;-;-

  • Venue:
  • RTAS '02 Proceedings of the Eighth IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'02)
  • Year:
  • 2002

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Abstract

End-to-end predictability of remote operations is essential for many fixed-priority distributed real-time and embedded (DRE) applications, such as command and control systems, manufacturing process control systems, large-scale distributed interactive simulations, and testbeam data acquisition systems. To enhance predictability, the Real-time CORBA specification defines standard middleware features that allow applications to allocate, schedule, and control key CPU, memory, and networking resources necessary to ensure end-to-end quality of service support.This paper presents the results of empirical studies that illustrate how a Real-time CORBA ORB can provide end-to-end QoS guarantees in middleware. The results in this paper are based on TAO, which is widely-used, open-source, Real-time CORBA-compliant DRE middleware. TAO uses non-multiplexed resources to eliminate sources of unbounded priorityinversion.