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Dataflow modelling in distributed diagnostic-processing systems: a closed queueing network model approach with single servers. (English) Zbl 1096.90008

Summary: A closed queuing network model with single servers has been proposed to model dataflow in distributed diagnostic-processing systems. Multi-threading is useful in reducing the latency by switching among a set of threads in order to improve the processor utilization. Two sets of processors, synchronization and execution processors exist. Synchronization processors handle load/store operations and execution processors handle arithmetic/logic and control operations. A closed queuing network model is suitable for a large number of job arrivals. The normalization constant is derived using a recursive algorithm for the given model. Performance measures such as average response times and average system throughput are derived and plotted against the total number of processors in the closed queuing network model. Other important performance measures like processor utilizations, average queue lengths, average waiting times and relative utilizations are also derived.

MSC:

90B22 Queues and service in operations research
60K25 Queueing theory (aspects of probability theory)
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