Abstract
Considering the issues of the fog- and edge-robotics, a problem of the computations in the dynamic environment is quite relevant. Due to the dynamics of the devices, which perform computations (e.g., edge learning for assistive robots), frequent application migrations take place (in this paper they are considered as system recovery procedure). We consider a problem of such migrations as the reliability one: when the time of system recovery increases, the less time remains for the functional tasks processing under the conditions of the fixed operation time. It leads to the reliability or QoS degrading. The reducing of the recovery time by means of the workload increase leads to the nodes reliability degrading as well. Also, due to the dynamics of the computational environment there is no possibility to plan the reconfiguration procedures relating to the functional tasks processing. In the current paper a novel technique is proposed to improve the reliability function of the computational nodes by means of the choice of the nodes monitoring and control strategy. According to the environmental peculiarities, the appropriate monitoring and control method is chosen, which provides the minimum of the time and workload for the nodes.
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The reported study was funded by RFBR according to the research project №. 18-29-03229, №. 19-07-00907.
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Klimenko, A., Kalyaev, I. (2021). A Technique to Provide an Efficient System Recovery in the Fog- and Edge-Environments of Robotic Systems. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds) Interactive Collaborative Robotics. ICR 2021. Lecture Notes in Computer Science(), vol 12998. Springer, Cham. https://doi.org/10.1007/978-3-030-87725-5_9
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