Real-Time Performance Estimation for Dynamic, Distributed Real-Time Systems
ICCS '02 Proceedings of the International Conference on Computational Science-Part III
A Dynamic Real-time Benchmark for Assessment of QoS and Resource Management Technology
RTAS '99 Proceedings of the Fifth IEEE Real-Time Technology and Applications Symposium
Statistical Rate Monotonic Scheduling
RTSS '98 Proceedings of the IEEE Real-Time Systems Symposium
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Schedulability analysis (SA) approaches in large scaled distributed systems for real-time constraints are conventionally based on a priori information. Such systems use fixed execution time with constant workload, work well in many application domains, and allow pre-deployment guarantees of real-time performance such as rate monotonic analysis (RMA) [J. ACM 20 (1973) 46]. However, certain grid applications must operate in highly dynamic environments, thereby precluding accurate characterization of the applications' workloads by static models. This considers issues that a new SA trigger needs to guarantee real-time performance during run-time on a dynamic environment of which applications experience large variations in the workload. This paper, especially, for the dynamic real-time grid computing environments, describes an efficient event (that are monitored in real-time) publish or policing technique which can trigger effective SA or reporting monitored-data appropriately, and uses a dynamic threshold which becomes sensitive when the quality of service (QoS) of the dynamic real-time application approaches to its deadline or constraint.