Functional stability of information networks in the availability of limited a priori information about reliability

In the article, based on the use of the results of evaluating of linear and fractional-linear functionals, sets of calculated ratios are obtained to determine the guaranteed (largest and smallest) values of basic of the reliability indicators of information systems in the presence of limited a priori information about the distributions of determining random variables which are represented by the initial moments. Such calculations at the design stage of complex information systems are predictable, because they serve as a grounding for the expected indicators of reliability of information systems that do not yet exist in real life. The peculiarity of the considered information systems is that they are used not continuously, but sporadically. In this case they perform tasks that come at random times. In such systems, the replenished time reserve provided in the system itself is used along with the random time reserve due to the nature of the task (this time reserve is determined from the moment of failure of the element or information system until the receipt of the task). Examples of sporadic information systems are VANET car networks, which have high latency requirements, real-time data centers, and communication systems. The main purpose of these calculations is as follows: a comparative analysis of various design (scheme) options for information systems at the design stage for a reasonable choice of the general structural scheme, methods of redundancy, methods of control and maintenance; a predicted assessment of the reliability of the system is given to substantiate the guaranteed conclusion that the designed information system can be manufactured according to the requirements that meet the requirements of functional stability; an approximate assessment of the reliability of information systems at the stage of testing a test sample for a reasonable determination of the terms of maintenance of systems in conditions of a priori uncertainty.

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Ensuring functional stability of the information system with limited initial information about determining random values

Telecommunication and information technologies ◽

10.31673/2412-4338.2020.047986 ◽

2020 ◽

Vol 69 (4) ◽

Author(s):

Yu. V. Berezovska ◽

Keyword(s):

Information System ◽

Information Systems ◽

A Priori ◽

Random Variables ◽

Distribution Functions ◽

Functional Stability ◽

A Priori Information ◽

Experimental Development ◽

Reliability Indicators ◽

Priori Information

Ensuring functional stability, reliability and effective management in information systems is a complex and complex scientific task. At the stage of design and construction of information systems, reliability indicators are interpreted as characteristics of the created probabilistic mathematical models of objects, and at the stage of experimental development, testing and operation, the role of reliability indicators is performed by statistical assessments of the corresponding probabilistic characteristics. When assessing the reliability indicators of information systems, the necessary initial data for a priori probabilistic calculations are often lacking, and the statistical assessment is hampered by a small volume of tests, according to which it is possible to determine only the estimates of the moments of determining random variables of the process of functioning of information systems or its components (mathematical expectations and variances of mean time between failures, recovery time, standby time, etc.). However, in such a situation, it is necessary to substantiate some characteristics of the information system, for example, a reserve of time, guaranteed exact boundaries of the probability of system uptime and the availability factor. When obtaining specific estimates, the minimum a priori information is used, which corresponds to a large number of real situations when assessing the reliability of information systems with time redundancy in the process of design, testing and operation. This article highlights various types of functionals that characterize the efficiency of an information system, under conditions of incomplete a priori information about the distribution function of determining random variables, through which the main indicators of the reliability of information systems are expressed, an analytical method is proposed and substantiated for finding distribution functions that deliver the greatest or least linear value. or linear fractional functionals under moment constraints on variable distribution functions. The method is based on identifying the limiting distribution functions, constructing the corresponding limiting polynomials, and solving special inequalities.

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User Satisfaction Assessment of a Developed Temperature Monitoring System Based on A-Priori Information System Impact Model

International Journal of Sociotechnology and Knowledge Development ◽

10.4018/ijskd.2021040105 ◽

2021 ◽

Vol 13 (2) ◽

pp. 71-89

Author(s):

Arneda Jean Gonzales ◽

Celbert M. Himang ◽

Melanie M. Himang ◽

Rebecca Manalastas ◽

Miriam F. Bongo ◽

...

Keyword(s):

Information System ◽

Monitoring System ◽

User Satisfaction ◽

Information Quality ◽

A Priori ◽

Impact Model ◽

Organizational Impact ◽

System Quality ◽

A Priori Information ◽

Priori Information

Network downtimes are typically addressed by deploying a temperature monitoring system (TMS) designed to detect variations in temperature and signal users of an impending increase of temperature. The development of a TMS has been found to essentially monitor temperature states across various case applications, but a concurrent analysis of such system was not carried out despite the need to recognize user satisfaction for improvement of future TMS information system components. Thus, this paper seeks to design, implement, and analyze a TMS under the a-priori information system (IS) impact model, which incorporates the constructs on individual impact, organizational impact, information quality, and system quality, in an academic institution as case environment. It is found that all four constructs have a positive influence on the proposed TMS IS impact except for organizational impact. Under such a case, decision-makers are prompted to develop a product that anchors primarily on individual impact, information quality, and system quality to attain desired system outputs.

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