Abstract | ||
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This paper presents an approach for engineering time-constrained systems which must operate in dynamic environments. Systems which operate in such environments may have unknown worst-case scenarios, may have large variances in the sizes of the data and event sets that they process (and thus, have large vari- ances in execution latencies and resource requirements), and may not be statically characterizable, even by time-invariant statistical distributions. To enable the engineering of such systems, we have developed a specification language that enables the description of environment-dependent features. We also present an abstract model that is constructed from the specifications, and is augmented dynamically with the state of environment-dependent features. The model is also used to define techniques for QoS (quality-of-service) monitoring, QoS diagnosis, and allocation analysis. Experimental results show the effectiveness of the ap- proach for specification of real-time QoS, detection and diagnosis of QoS failures, and restoration of ac- ceptable QoS via reallocation. |
Year | DOI | Venue |
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1998 | 10.1109/REAL.1998.739732 | Madrid |
Keywords | Field | DocType |
real-time systems,resource allocation,computer networks,quality control,real time,real time systems,specification language,quality of service,formal specification,distributed computing,resource management,network resources,statistical distributions,statistical distribution,distributed processing | Resource management,Specification language,LTI system theory,Computer science,Quality of service,Formal specification,Real-time computing,Probability distribution,Resource allocation,Condition monitoring,Distributed computing | Conference |
ISSN | ISBN | Citations |
1052-8725 | 0-8186-9212-X | 46 |
PageRank | References | Authors |
3.48 | 22 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
L. R. Welch | 1 | 60 | 5.40 |
Binoy Ravindran | 2 | 1459 | 139.24 |
B. A. Shirazi | 3 | 53 | 4.70 |
Bruggeman, C. | 4 | 46 | 3.48 |