Determination of exact upper estimates of time taken to perform complex sets of problems in control, parallel computing systems

DOI10.1134/S0005117910090122zbMath1227.93083OpenAlexW2028854943MaRDI QIDQ544696

V. V. Shastun, N. N. Ivanov

Publication date: 16 June 2011

Published in: Automation and Remote Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s0005117910090122

zbMATH Keywords

controlMonte Carlo methodestimate of distribution functionsparallel computing systems

Mathematics Subject Classification ID

Control/observation systems involving computers (process control, etc.) (93C83)

Related Items (3)

Analytical and simulation models of generalized stochastic networks ⋮ Short-axis-mode rotation of a free rigid body by perturbation series ⋮ The degree of parallelism in generalized stochastic network

Cites Work

• Dynamic control of reliable execution of parallel computing processes for real-time systems
• Redundantization of interdependent program modules for parallel control computing systems: Organization, estimation of fault-tolerance, formalized description
• Dynamic control of parallel computing processes based on static forecasting of their execution
• Methods of mathematical forecasting of the time of execution of complex sets of jobs in parallel distributed computer systems
• Forecasting the execution of complex software in parallel computers: Direct stochastic modeling
• Static forecasting of the execution times of complexes of interrelated jobs in the multiprocessor computer systems

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