Bill Wood

Benchmarking any distributed computing middleware product is a complex task. Knowing how well a distributed infrastructure will perform under heavy load with a large number of concurrently connected users is a key factor in planning a development and deployment strategy. With the advent of Java Message Service (JMS) as the standard for a global class middleware infrastructure, development organizations can enjoy the luxury of building distributed applications using a common set of APIs and message delivery semantics. At the same time they can pick and choose from a variety of JMS-compliant vendor implementations. However, the science of testing global-class messaging middleware is uncharted territory as there are no industry-accepted benchmarks. There are many vendor implementations to choose from, all of which claim to be the fastest. Some also claim to be highly s... (more)