Skip to Main content Skip to Navigation
Journal articles

Dataflow modelling in distributed diagnostic processing systems: a closed queuing network model with multiple servers

Abstract : In this paper, a closed queuing network model with multiple servers has been proposed to model dataflow in distributed diagnosticprocessing 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 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
Complete list of metadatas

https://hal.univ-lorraine.fr/hal-03045160
Contributor : Kondo Adjallah <>
Submitted on : Monday, December 7, 2020 - 9:31:18 PM
Last modification on : Friday, December 25, 2020 - 6:10:02 PM

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

  • HAL Id : hal-03045160, version 1

Collections

Citation

Vidhyacharan Bhaskar, K. Adjallah, Laurie Joiner. Dataflow modelling in distributed diagnostic processing systems: a closed queuing network model with multiple servers. International Journal of Pure and Applied Mathematics, Academic Publishing Ltd, 2005, 19 (1), pp.25-42. ⟨hal-03045160⟩

Share

Metrics

Record views

10

Files downloads

11