Content collaborative distribution method and application system of fog computing architecture based on broadcast storage network

Abstract

The invention discloses a content collaborative distribution method and an application system of a fog computing framework based on a broadcast storage network. The present invention utilizes the broadcast storage network to improve the content active push ability of the traditional fog computing architecture and reduce its consumption of Internet bandwidth, adopts the centralized control idea of ​​software-defined network SDN, and proposes a multi-granularity collaborative storage mechanism that takes into account both broadcast content and Web cache content ; On this basis, the controller is used to centrally maintain and control all nodes in the domain, and to formulate efficient content forwarding strategies for the fog server in the domain; finally, the controller is used to realize the collaborative content distribution of multiple nodes in the domain. The present invention can effectively enhance the content active push capability of the fog computing architecture, reduce user request delay, and improve user experience.

Description

technical field [0001] The invention relates to a content collaborative distribution method and an application system of a fog computing framework based on a broadcast storage network, which can reduce the response delay of end user requests and improve user experience, and belongs to the technical field of the Internet. Background technique [0002] Cloud computing can overcome the common disadvantages of resource monopoly, low data center business density and low system resource utilization in traditional application systems, but it still has defects such as inability to effectively support delay-sensitive applications and consume a large amount of network bandwidth. For this reason, Cisco (Cisco) proposed the concept of fog computing (Fog Computing), which extends the network computing characterized by cloud computing from the network center to the edge of the network, and uses fog computing to describe the intermediate state between cloud computing and terminal computing....

AI Technical Summary

Problems solved by technology

Considering that the current fog computing architecture has shortcomings such as weak active push capability and content distribution consumes Internet bandwidth, it is difficult to overcome these shortcomings with traditional technologies, and the advantages of the broadcast storage network can effectively overcome these shortcomings

However, on the one hand, there is currently no fog computing architecture implementation scheme based on the broadcast storage network in the industry; on the other hand, there are still many difficulties in building a fog computing architecture based on the broadcast storage network, such as the storage collaboration between Efficient management and control of servers, collaborative content distribution method for multiple nodes linkage, etc.

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