Evaluating the performance of demultiplexing strategies for real-time CORBA

Abstract
Efficient and predictable demultiplexing is necessary to pr o- vide real-time support for distributed object computing ap - plications developed with CORBA. This paper presents two contributions to the study of demultiplexing for real-time CORBA endsystems. First, we present an empirical study of three demultiplexing strategies used by a real-time Obje ct Adapter based on SunSoft IIOP. These strategies compare the performance of (1) linear search, (2) perfect hashing, and ( 3) active demultiplexing for a wide range of target objects and operations. Second, we describe how we are using the per- fect hashing and active demultiplexing strategies to devel op a high-performance, real-time ORB called TAO.

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