The author proposes a filter component to be included in a load-sharing algorithm to detect short-lived jobs not worth considering for remote execution. Three filters are presented. One filter, called History, detects short-lived jobs by using job names and statistics based on previous executions. Job traces are allocated from diskless work stations connected by a local area network and supported by a distributed file system. Trace-driven simulation is then used to evaluate History with respect to the other filters. Two load-sharing algorithms show significant improvement of the mean job response ratio when the History filter is added.