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Resource-driven Modelling of Complex Digital Systems with Uncertainty

Lookup NU author(s): Dr Ashur Rafiev, Dr Alexei Iliasov, Professor Alexander RomanovskyORCiD, Dr Andrey Mokhov, Dr Fei Xia, Professor Alex Yakovlev



ArchOn is a new architecture-open, resource-driven, and layer-agnostic modelling method for large complex computing systems focusing on system performance and survivability metrics, including speed, throughput, and crucially, reliability. This paper describes first exploratory uses of ArchOn to model system operations under uncertainties in both the environment and system components. The resource-driven nature of ArchOn allows the modelling of uncertainty in terms of disruptions in the resource dependencies, which can relate to such real-world issues as single event upsets (SEUs) in hardware. A system solving a typical image processing problem serves as the example target system for this exploration.

Publication metadata

Author(s): Rafiev A, Iliasov A, Romanovsky A, Mokhov A, Xia F, Yakovlev A

Publication type: Report

Publication status: Published

Series Title: School of Computing Science Technical Report Series

Year: 2014

Pages: 3

Print publication date: 01/02/2014

Acceptance date: 01/01/1900

Source Publication Date: February 2014

Report Number: 1413

Institution: School of Computing Science, University of Newcastle upon Tyne

Place Published: Newcastle upon Tyne