This paper introduces a novel application of thread-level speculation to a distributed heterogeneous environment. We propose and evaluate two speculative models which attempt to reduce some of the method call overhead associated with distributed objects. Thread-level speculation exploits parallelism in code which is not provable free of data dependencies. Our evaluation of applying thread-level speculation to client-server applications resulted in substantial performance increases, on the order of 3 times for our
initial model, and 21 times for the second.