摘要
The use of industrial internet networks with net- centric control is the driving trend behind the future material manufacturing of goods and services. The promising future of this approach is provided by these complex net-centric systems functioning with high relia- bility. The problem of intelligent net-centric control and reliable network functioning is fundamental, with the additional requirement that the system should preserve stakeholder security and privacy according to policies. The issue is that such systems are characterized by complex multi-parameter operability modes controlled by various criteria. This study considers an approach to providing reliable management of complicated Internet of things （IoT） systems. This is achieved by solving multi-criteria tasks over many processes of various physical natures. Corresponding methods of hierarchical decomposition of multi-criteria tasks, process levels of multi-criteria opti- mization, specifics of aggregation levels, and the master equation of the optimization process are described.
The use of industrial internet networks with net- centric control is the driving trend behind the future material manufacturing of goods and services. The promising future of this approach is provided by these complex net-centric systems functioning with high relia- bility. The problem of intelligent net-centric control and reliable network functioning is fundamental, with the additional requirement that the system should preserve stakeholder security and privacy according to policies. The issue is that such systems are characterized by complex multi-parameter operability modes controlled by various criteria. This study considers an approach to providing reliable management of complicated Internet of things （IoT） systems. This is achieved by solving multi-criteria tasks over many processes of various physical natures. Corresponding methods of hierarchical decomposition of multi-criteria tasks, process levels of multi-criteria opti- mization, specifics of aggregation levels, and the master equation of the optimization process are described.
