The current paper deals with the problem of workload relocation in distributed monitoring and forecasting systems in terms of their reliability and system response. The research of publications presented allows us to conclude that existing methods of workload relocation problem-solving do not ensure getting of a satisfying result. Also, some specific characteristics of such systems are not incorporated in known methods. In this paper the modification of the existing workload relocation problem-solving method was proposed. In this context, a new domain ontological model and a new set of production rules were developed to adopt the method, which was proposed for distributed CAD systems. Some simulations for two different scenarios were conducted and theoretical conclusions were confirmed. A particular interest is the fact that the higher fog “deepness” value, the higher the effectiveness of developed method.
CITATION STYLE
Melnik, E. V., Safronenkova, I. B., & Klimenko, A. B. (2021). A Modified Ontology-Based Method of Workload Relocation Problem Solving for Monitoring and Forecasting Systems. In Lecture Notes in Networks and Systems (Vol. 229, pp. 145–152). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-77445-5_13
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