Distribution of Indivisible Resources During Big Data Processing
Abstract
The method of load balancing for indivisible network resources when parallelizing Big Data processing is considered. A method for finding the optimal partitioning of a processing service into parallel processes is proposed.References
Kuchuk G., Kovalenko A., Komari I.E., Svyrydov A., Kharchenko V. Improving big data centers energy efficiency: Traffic based model and method. Studies in Systems, Decision and Control, vol 171. Kharchenko, V., Kondratenko, Y., Kacprzyk, J. (Eds.). Springer Nature Switzerland AG, 2019. Pp. 161-183. DOI: http://doi.org/10.1007/978-3-030-00253-4_8
Kharchenko V, Andrashov A, Sklyar V, Kovalenko A, Siora O. Gap-and-imeca-based assessment of i&C systems cyber security. Complex Systems and Dependability. Springer, Berlin, Heidelberg, 2013, pp. 149-164.
Ruban, I., Kuchuk, H. and Kovalenko A. (2017), “Redistribution of base stations load in mobile communication networks”, Innovative technologies and scientific solutions for industries, No 1 (1), P. 75–81, doi : https://doi.org/10.30837/2522-9818.2017.1.075.
Kuchuk G., Nechausov S., Kharchenko, V. Two-stage optimization of resource allocation for hybrid cloud data store. International Conference on Information and Digital Technologies. Zilina, 2015. P. 266-271. DOI: http://dx.doi.org/10.1109/DT.2015.7222982
