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He, Ligang; Jarvis, Stephen A.; Spooner, Daniel P.; Nudd, G. R. (2003)
Publisher: Springer-Verlag
Languages: English
Types: Part of book or chapter of book
Subjects: QA76

Classified by OpenAIRE into

arxiv: Computer Science::Operating Systems
It is assumed in this paper that periodic real-time applications are being run on a cluster of heterogeneous workstations, and new non-periodic real-time applications arrive at the system dynamically. In the dynamic scheduling scheme presented in this paper, the new applications are scheduled in such a way that they utilize spare capabilities left by existing periodic applications in the cluster. An admission control is introduced so that new applications are rejected by the system if their deadlines cannot be met. The effectiveness of the proposed scheduling scheme has been evaluated using simulation; experimental results show that the system utilization is significantly improved.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 1. K. Hwang and Z. Xu.: Scalable Parallel Computing: Technology, Architecture, Programming. McGraw Hill, 1998.
    • 2. J. P. Lehoczky and S. Ramos-Thuel.: An Optimal Algorithm for Scheduling Soft-Aperiodic Tasks in Fixed-Priority Preemptive Systems. Proc. of Real-Time Systems Symposium, 1992, pp.110-123.
    • 3. G.R. Nudd, D.J.Kerbyson et al.: PACE-a toolset for the performance prediction of parallel and distributed systems. International Journal of High Performance Computing Applications, Special Issues on Performance Modelling, 14(3), 2000, 228-251.
    • 4. X Qin and H Jiang.: Dynamic, Reliability-driven Scheduling of Parallel Real-time Jobs in Heterogeneous Systems. In Proceedings of the 30th International Conference on Parallel Processing (ICPP 2001), Valencia, Spain, September 3-7, 2001.
    • 5. D.P. Spooner, SA. Jarvis, J. Cao, S. Saini and GR. Nudd.: Local Grid Scheduling Techniques using Performance Prediction. IEE Proceedings-Computers and Digital Techniques, 2003.
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