Simulation of the Adapt on-line diagnosis algorithm for general topology networks

As dependence on wide-area and other point-to-point networks increases, the need for diagnosis of the distributed resources becomes critical. Continuous online distributed diagnosis at the system-level provides a desirable solution. The Adapt algorithm, which performs online adaptive distributed diagnosis in arbitrary networks in the presence of node failures, is examined. Simulation results depicting operation for various network topologies are given, including test and message counts and diagnosis latency. The results indicate that Adapt performs significantly better than derived worst-case bounds. The best- and worst-case performance bounds are analyzed