Compound service scheduling with run-time adaptation in real-time multiprocessor distributed systems

Abstract

A compound service comprising one or more task, occurring unpredictably and constrained by a single deadline may not be successfully scheduled. A goal for managing such services as to maximize the success ratio SR, i.e. the percentage of successfully scheduled services. This paper describes an adaptive run-time scheduling method for improving the SR of a real-time distributed system. Simulation is used to obtain performance results.<>