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A Technique of Workload Distribution Based on Parallel Algorithm Structure Ontology

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Intelligent Systems Applications in Software Engineering (CoMeSySo 2019 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1046))

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Abstract

A workload distribution problem is quite topical nowadays. A large number of applications, which function in distributed environments, uses various techniques of a workload relocation. Yet very few studies consider the workload relocation in fog-computing environment emphasizing the increase of a search space and the distances between the computational nodes. In this paper a new workload distribution technique, based on ontological analysis of algorithm structures and the available resources is presented. The aim is to limit and reduce the search space of the workload distribution problem. Such strategy decreases the time of workload location and so decreases the time needed to solve the general computational task of application.

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Acknowledgments

The paper has been prepared within the RFBR project 18-29-03229 and the GZ SSC RAS N GR of project AAAA-A19-119011190173-6.

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Authors and Affiliations

  1. Scientific Research Institute of Multiprocessor Computer Systems, Southern Federal University, 2, Chehova Street, 347928, Taganrog, Russia

    A. B. Klimenko

  2. Federal Research Centre the Southern Scientific Centre of the Russian Academy of Sciences, 41, Chehova Street, 344006, Rostov-on-Don, Russia

    I. B. Safronenkova

Authors
  1. A. B. Klimenko
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  2. I. B. Safronenkova
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Corresponding author

Correspondence to A. B. Klimenko .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

    Petr Silhavy

  3. Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic

    Zdenka Prokopova

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Klimenko, A.B., Safronenkova, I.B. (2019). A Technique of Workload Distribution Based on Parallel Algorithm Structure Ontology. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Intelligent Systems Applications in Software Engineering. CoMeSySo 2019 2019. Advances in Intelligent Systems and Computing, vol 1046. Springer, Cham. https://doi.org/10.1007/978-3-030-30329-7_4

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