Abstract: A method, article of manufacture and apparatus for automatically predicting out of memory exceptions in garbage collected environments are disclosed. One embodiment provides a method of predicting out of memory events that includes monitoring an amount of memory available from a memory pool during a plurality of garbage collection cycles. A memory usage profile may be generated on the basis of the monitored amount of memory available, and then used to predict whether an out of memory exception is likely to occur.

Abstract: A method, apparatus, system, and signal-bearing medium that in an embodiment collect profile information about class-type checks, calculate a number of class-type checks that minimizes a cost of inlining, generate inline code for the number of class-type checks for a site in a method, and sort the inline code based on a frequency of the class types. Any remaining class-type checks at the site that are not handled by the inlined class-type checks are handled via an out-of-line function call. In this way, inlined code is used when it provides better performance than an out-of-line function, and the out-of-line function call is used when it provides better performance than the inlined code.