A resource-saving method of distributed computation planning in fog-computing environment

The issues of organizing distributed computation in fog-environments are currently relevant due to the increasing amount of data circulating over global networks. Research carried out in the field of the development of new models, methods and technical means of the fog computing concept covers a wide range of topics, including resource sharing, computational planning, user authentication, and data security. Papers on resource consumption are also presented, specifically those that explore the issue of extending the expedient service life of fog devices, which have a significant impact on the system operating cost. In this article, the solution to the problem of resource saving in this aspect is associated with a reasonable distribution of the computational load over the fog nodes which affects the device indicators, such as the probability of failure-free operation, gamma-percentage time between failures and the average residual resource of a computing device. A method for evaluating the feasibility of placing a computational load on nodes as part of a "greedy" strategy is proposed, as well as a method for selecting nodes to place the load. Combining these methods constitutes a method for distributed computing planning in the fog layer of a network with optimization according to the criterion of resource-saving. The conducted experiment demonstrates the applicability of the developed method and helps to choose the area for further research.

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