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Software definition service reorganization method based on content awareness and weighted graph in fog computing

A content-aware, software-defined technology, applied in electrical components, digital transmission systems, transmission systems, etc., can solve problems such as the inability to reduce the energy consumption of the overall fog computing system, and achieve efficient utilization, improve utilization efficiency, and reduce energy consumption. Effect

Active Publication Date: 2017-12-22
SHANGHAI JIAO TONG UNIV +2
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Problems solved by technology

The research on the optimized fog node architecture only focuses on the interaction of each node in the fog node network at the network level, and does not involve the efficient reuse and reorganization optimization of resources in a single fog node, which cannot reduce the energy consumption of the overall fog computing system

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  • Software definition service reorganization method based on content awareness and weighted graph in fog computing
  • Software definition service reorganization method based on content awareness and weighted graph in fog computing
  • Software definition service reorganization method based on content awareness and weighted graph in fog computing

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Embodiment Construction

[0025] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0026] The software-defined service reorganization mechanism based on content awareness and weighted graph in fog computing provided by the present invention, its basic structure is as follows figure 1 shown.

[0027] The software-defined service reorganization mechanism under fog computing runs in a hierarchical fog node architecture. Fog nodes provide services such as calculation, storage, and preprocessing of different content types of data locally for upper-level fog users by marginalizing cloud no...

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Abstract

The invention provides a software definition service reorganization method based on content awareness and weighted graph in fog computing. The method runs in hierarchical fog node architecture, a fog node is formed by three layers, namely a service reconfiguration layer, a content-driven control layer and a user-defined reconfiguration layer, and meanwhile, the fog node is divided into three corresponding storage spaces, namely a service resource library, a content-based strategy library and a demand library which are respectively used for storing a service module, a content-operation mapping table and a preprocessing demand of a fog user. Compared with a service provision mechanism in the conventional fog node, the novel software definition service reorganization mechanism in the fog node, which is provided by the invention, can reduce the time cost and the computational cost to a great extent, so that the overall energy consumption of a fog system is reduced.

Description

technical field [0001] The invention relates to a software-defined service reorganization mechanism based on content perception and weighted graph in fog computing. Background technique [0002] As the middle layer between the remote cloud platform and a large number of underlying devices, fog computing concentrates content processing, computing, storage and other capabilities in nodes with certain intelligence at the edge of the network. In this mode, the original data collected from the underlying large-scale sensor network will not be directly uploaded to the cloud, but will be pre-processed by the local fog node according to user needs, and then delivered to the cloud and upper-level users for further processing. storage and handling. At present, fog computing has been considered as the trend of next-generation wireless sensor networks (WSNs) because of its advantages in low latency and reducing the burden of cloud computing. [0003] With the gradual application and l...

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Application Information

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IPC IPC(8): H04L12/24
CPCH04L41/0833H04L41/0893H04L41/5041H04L41/5051
Inventor 伍军何珊李高磊李建华郭龙华陈璐艺李高勇
Owner SHANGHAI JIAO TONG UNIV
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