Method of Parallel Information Object Search in Unified Information Spaces

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Alexander Dodonov 1,* Vadym Mukhin 2 Valerii Zavgorodnii 3 Yaroslav Kornaga 4 Anna Zavgorodnya 3 Oleg Mukhin 2

1. Institute of Problems of Information Registration of the National Academy of Sciences of Ukraine, Deputy Director for Scientific Research, 03113, Kiev, Ukraine

2. National Technical University of Ukraine “Igor Sikorsky Kiev Polytechnic Institute”, Department of the mathematical methods of system analysis, 03056, Kiev, Ukraine

3. State University of Infrastructure and Technologies, Department of the Information Technologies and Design, 04071, Kiev, Ukraine

4. National Technical University of Ukraine “Igor Sikorsky Kiev Polytechnic Institute”, Сomputer systems department, 03056, Kiev, Ukraine

* Corresponding author.


Received: 13 Apr. 2021 / Revised: 9 May 2021 / Accepted: 21 May 2021 / Published: 8 Aug. 2021

Index Terms

Unified information space, features, parameters, information object, search method


The article describes the concept of a unified information space and an algorithm of its formation using a special information and computer system. The process of incoming object search in a unified information space is considered, which makes it possible to uniquely identify it by corresponding features. One of the main tasks of a unified information space is that each information object in it is uniquely identified. For this, the identification method was used, which is based on a step-by-step analysis of object characteristics. The method of parallel information object search in unified information spaces is proposed, when information object search will be conducted independently in all unified information spaces in parallel. Experimental studies of the method of parallel information object search in unified information spaces were conducted, on the basis of which the analysis of efficiency and incoming objects search time in unified information spaces was carried out. There was experimentally approved that the more parameters that describe the information object, the less the time of object identification depends on the length of the interval. Also, there was experimentally approved that the efficiency of the searching of the incoming objects in unified information spaces tends to a directly proportional relationship with a decrease in the length of the interval and an increase in the number of parameters, and vice versa.

Cite This Paper

Alexander Dodonov, Vadym Mukhin, Valerii Zavgorodnii, Yaroslav Kornaga, Anna Zavgorodnya, Oleg Mukhin, "Method of Parallel Information Object Search in Unified Information Spaces", International Journal of Computer Network and Information Security(IJCNIS), Vol.13, No.4, pp.1-13, 2021. DOI: 10.5815/ijcnis.2021.04.01


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