Measuring real-time performance in distributed object oriented systems

The principles of distributed object oriented programming offer great possibilities for flexible architectures in multiple fields. In telecommunications, an architecture called Telecommunication Information Networking Architecture (TINA) has been developed using these very principles. It allows telecommunication services to be implemented using software objects that in turn can be executed in a location transparent way in a network. The location transparency offers great flexibility for service creation, but as the software must be executed somewhere in the network on nodes of finite capacity, performance problems can arise due to inefficient placement of objects causing either overloaded nodes or excessive and unneccesary inter-node communication. To ensure good performance, various measures of load control and load balancing must be taken. We discuss how to measure the performance of a distributed object oriented system and examine two load balancing algorithms that can be used in such systems.
of finite capacity, performance problems can arise due to inefficient placement of objects causing either overloaded
nodes or excessive and unneccesary inter-node communication. To ensure good performance, various measures of
load control and load balancing must be taken. We discuss how to measure the performance of a distributed object
oriented system and examine two load balancing algorithms that can be used in such systems.