Abstract: Features are extracted and/or derived from a software package (e.g., a binary executable, etc.) which are input into a machine learning model to determine an estimated peak memory usage required to analyze the software package. A number of memory resource units required for the determined peak memory usage is then determined. If the number of available memory resource units is less than the determined number of required memory resource units, then the software package can be queue in a backoff queue. The determined number of required memory units to analyze the software package can be allocated when a number of available memory resource units equals or exceeds the determined number of required memory resource units (whether or not the software package has been queued). The software package can then be analyzed using the allocated memory units. Information characterizing this analysis can be provided to a consuming application or process.