The problem of decentralized decision making for modern cloud services

Author:

Gorbachuk V. M.ORCID, ,Bardadaym T. O.,Osypenko S. P., ,

Abstract

The organization of modern cloud services is based on theoretical results in logistics, operations research, supply chains, information transmission (transportation) networks, and on the practical achievements of the novel information and communication technologies. As all the inhabitants of the planet become regular users and at the same time creators of such services, the issues of decentralized decision making are becoming everyday problems. The paper presents the setup for the problem of such solutions by suppliers (providers) of cloud services and suggests a mathematical formulation of the corresponding optimization problem with resource constraints. It is a starting point for further mathematical elaboration of the new everyday problems.

Publisher

Taras Shevchenko National University of Kyiv

Subject

Medical Assisting and Transcription,Medical Terminology

Reference7 articles.

1. 1. GORBACHUK, V. et al. (2020) Economics of Internet-applications and digital content. In The Role of Technology in the Socio-Economic Development of the Post-Quarantine World. M. Gavron-Lapuszek, A. Karpenko (eds.) Katowice: Katowice School of Technology, pp. 81-88.

2. The impact of cloud services pricing on provider profit, consumer surplus, and social welfare;GORBACHUK;In CEUR Workshop Proceedings 2866,2020

3. On biomedical computations in cluster and cloud environment;BARDADYM;Cybernetics and Computer Technologies № 2 pp 76−,2021

4. 4. ZAKARYA, M. et al. (2020) epcAware: a game-based, energy, performance and cost efficient resource management technique for multi-access edge clouds. IEEE Transactions on Services Computing. doi: 10.1109/TSC.2020.3005347.

5. 5. LI, K. (2018) A game theoretic approach to computation offloading strategy optimization for non-cooperative users in mobile edge computing. IEEE Transactions on Sustainable Computing. doi: 10.1109/TSUSC.2018.2868655.

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