Real-time service process scheduling with intermediate deadline overrun management

Abstract

This paper presents a robust scheduling framework for service processes with end-to-end deadlines. Service processes are admitted using capacity-based admission control, which assigns intermediate deadlines for individual services. At run-time, the system can respond to intermediate deadline faults by adjusting the deadlines assigned and reevaluate the system's schedulability. Intermediate deadline adjustment algorithms are proposed to efficiently adjust a subset of the overrunning process. Experimental results show that the proposed intermediate deadline adjustment algorithms can effectively reduce the end-to-end deadline miss ratio by up to 30%, compared to the original system.