ABSTRACTS OF ARTICLES OF THE JOURNAL "INFORMATION TECHNOLOGIES".
No. 5. Vol. 27. 2021

DOI: 10.17587/it.27.242-248

P. E. Golosov, Cand. of Tech. Sc. (Ph.D.), Dean of the Faculty of Information Technologies and Data Analysis, e-mail: golosov-pe@ranepa.ru, Institute of EMIT of the Russian Academy of National Economy and Public Administration under the Russian President (RANEPA), Moscow, Russian Federation, 119571, Moscow, I. M. Gostev, D. Sc., e-mail: igostev@gmail.com, Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute), Moscow, 127051, Russian Federation

Optimization of the Distribution of Hash Calculation Tasks Flow at a Priori Given Complexity

The increasing number of computationally intensive tasks induced by digital economy development (within the framework of implementing block-chain solutions, distributed ledgers, etc.) requires more and more computational resources. At the same time users tend to move the computational process to the cloud in order to minimize costs, and the owners of cloud services are forced to look for solutions to improve their efficiency. In this paper we consider approaches that allow optimize the use of parallel computing resources for incoming sets of resource-intensive tasks, analyze different approaches to the strategy of assigning tasks to computing resources. The results of modelling experiments are provided taking into account task distribution, parameterized by execution time limit within modeling the service level agreement with the user.
Keywords: optimization, parallel computations, computation planning, efficiency estimation

P. 242–248

To the contents