首页|Dispersed Computing Resource Discovery Model and Algorithm for Polymorphic Migration Network Architecture
Dispersed Computing Resource Discovery Model and Algorithm for Polymorphic Migration Network Architecture
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Dynamic resource discovery in a net-work of dispersed computing resources is an open prob-lem.The establishment and maintenance of resource pool information are critical,which involves both the poly-morphic migration of the network and the time and en-ergy costs resulting from node selection and frequent in-teractions of information between nodes.The resource discovery problem for dispersed computing can be con-sidered a dynamic multi-level decision problem.A bi-level programming model of dispersed computing resource dis-covery is developed,which is driven by time cost,energy consumption and accuracy of information acquisition.The upper-level model is to design a reasonable network struc-ture of resource discovery,and the lower-level model is to explore an effective discovery mode.Complex network to-pology features are used for the first time to analyze the polymorphic migration characteristics of resource discov-ery networks.We propose an integrated calibration meth-od for energy consumption parameters based on two dis-covery modes(i.e.,agent mode and self-directed mode).A symmetric trust region based heuristic algorithm is pro-posed for solving the system model.The numerical simu-lation is performed in a dispersed computing network with multiple modes and topological states,which proves the feasibility of the model and the effectiveness of the al-gorithm.
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NSTL
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