Distributed Scheduling of Tasks with Deadlines and Resource Requirements
IEEE Transactions on Computers
Application of Real-Time Monitoring to Scheduling Tasks with Random Execution Times
IEEE Transactions on Software Engineering
Mechanisms for detecting and handling timing errors
Communications of the ACM
Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
WCET Analysis of Superscalar Processors Using SimulationWith Coloured Petri Nets
Real-Time Systems - Special issue on worst-case execution-time analysis
Probabilistic performance guarantee for real-time tasks with varying computation times
RTAS '95 Proceedings of the Real-Time Technology and Applications Symposium
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
RTSS '96 Proceedings of the 17th IEEE Real-Time Systems Symposium
Integrating Multimedia Applications in Hard Real-Time Systems
RTSS '98 Proceedings of the IEEE Real-Time Systems Symposium
Statistical Rate Monotonic Scheduling
RTSS '98 Proceedings of the IEEE Real-Time Systems Symposium
An efficient event publish technique for real-time monitor on real-time grid computing
Future Generation Computer Systems - Special issue: Modeling and simulation in supercomputing and telecommunications
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The main contribution of this paper is accurate analysis of real-time performance for dynamic real-time applications. A wrong system performance analysis can lead to a catastrophe in a dynamic real-time system. In addition, real-time performance guarantee combined with efficient resource utilization is observed by experiments, while the previous worst-case approaches primarily focused on performance guarantee but resulted in typically poor utilization. The subsequent contribution is schedulability analysis for a feasible allocation of resource management on the Solaris operating system. This is accomplished with a mathematical model and by accurate response time prediction for a periodic, dynamic distributed real-time application.