Abstract
This paper deals with large, distributed real-time systems that have execution times and resource utilizations which cannot be characterized a priori. (The motivation for our work is provided in part by the characteristics of combat systems.) There are several implications of these characteristics: 1) demand space workload characterizations may need to be determined a posteriori, and 2) an adaptive approach to resource allocation may be necessary to accommodate dynamic workload changes. Thus, we present a scheme for dynamically managing distributed computing resources by continuously computing and assessing QoS and resource utilization metrics that are determined a posteriori. Specifically, the paper presents an adaptive distributed system reference architecture that is suitable for such an approach. This reference architecture provides the capabilities and infrastructure needed to construct multi-component, replicated, distributed object real-time systems that negotiate for a given level of QoS from the underlying distributed computing resources.
Sponsored in part by DARPA/NCCOSC contract N66001-97-C-8250, and by the NSWC/NCEE contracts NCEE/A303/41E-96 and NCEE/A303/50A-98.
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Welch, L.R. et al. (1999). A distributed system reference architecture for adaptive QoS and resource management. In: Rolim, J., et al. Parallel and Distributed Processing. IPPS 1999. Lecture Notes in Computer Science, vol 1586. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0098011
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DOI: https://doi.org/10.1007/BFb0098011
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