Deterministic replay of distributed Java applications

Execution behavior of a Java application can be nondeterministic due to concurrent threads of execution, thread scheduling, and variable network delays. This nondeterminism in Java makes the understanding and debugging of multi-threaded distributed Java applications a difficult and a laborious process. It is well accepted that providing deterministic replay of application execution is a key step towards programmer productivity and program under-standing. Towards this goal, we developed a replay framework based on logical thread schedules and logical intervals. An application of this framework was previously published in the context of a system called Deja Vu that provides deterministic replay of multi-threaded Java programs on a single Java Virtual Machine (JVM). In contrast, this paper focuses on distributed Deja Vu that provides deterministic replay of distributed Java applications running on multiple JVMs. We describe the issues and present the design, implementation and preliminary performance results of distributed Deja Vu that supports both multi-threaded and distributed Java applications.