Author:
Eremenko V. T.,Loginov I. V.,Fisun A. P.,Rytov M. Yu.
Abstract
The paper considers the problem of managing the computational platform reconfiguration of evolving cyber-physical systems. The urgency of the task is determined by a significant changing increasing of the cyber-physical systems’ using conditions (traffic management, logistics flows, distributed production), leading to a change in the requirements of the destination. The intensive of change for innovation cyber-physical can be more than 0.5-1.0 by year, that require significant resource for reconfiguration and modernization. A significant factor in managing the structural and functional composition of informational computing modules is a high degree of uncertainty in the indicators of the such modules using at the early stages of the decision-making cycle. Within the framework of the study, an approach to managing the reconfiguration of informational computing platforms based on the mechanism of maximum functional suitability of a set of informational computing modules is considered. The effectiveness of Shortest Job the Next (SJN), Dynamic Priorities (DPR) and Static Priorities (SPR) planning mechanism are evaluated in the case of uncertainty (the error coefficient of variation varies in the range from 0 to 1.75). In the case of zero error – DPR mechanism is more effective than SPR, that is more effective than SJN. Based on the analysis of the effectiveness of a set of methods for managing reconfiguration with variations in the error of estimating the parameters of the upgraded information and computing modules, a context-dependent MAX management model is obtained in the article. MAX management model is a combination of approaches based on static and dynamic priorities: if the value of the coefficient of variation more 0.75 than MAX = SPR else DPR. The use of such a management model makes it possible to increase the integral efficiency of the target cyber-physical system.
Publisher
Izdatel'skii dom Spektr, LLC
Subject
General Materials Science
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