A Collaborative Service Deployment and Service Distribution Method for Regional Edge Computing Internet of Things
An edge computing and collaborative service technology, applied in transmission systems, electrical components, etc., can solve the problems of increasing network deployment costs, increasing indirect computing resource occupation, load imbalance, etc., to improve resource utilization, reduce deployment costs, The effect of reducing the number
Active Publication Date: 2021-08-17
CHINA UNIV OF MINING & TECH
View PDF4 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
In the existing edge computing research, the edge server only provides services for the applications in the access network it covers, and it is necessary to deploy an edge server for each access network, which greatly increases the deployment cost of the network, and at the same time causes the above resource Low utilization and unbalanced load, as well as the repeated deployment of service applications of the same business in the regional Internet of Things in each edge server, greatly increasing the resource occupation of indirect computing
For some applications in the overloaded access network, the current solution is to further offload to the cloud server for execution, but does not consider the cloud-to-end uncertain delay problem
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0081] The technical solutions of the present invention will be further described below with reference to the accompanying drawings and embodiments.
[0082] The model diagram of the regional edge computing IoT system of the present invention is as follows: figure 1 As shown; given a regional network, there are n IoT nodes installed with intelligent application services, the IoT nodes are distributed in k access networks, and a total of j types of services are installed on these n nodes, All access points in the network are connected to a central network management forwarding unit. The computing tasks of smart applications installed on IoT nodes in the network cannot be completed locally, and need to be offloaded to be assisted by edge servers.
[0083] The present invention aims to deploy an edge server for the network, and perform service distribution so that the quality of service (QoS) of all services in the network can be satisfied. At the same time, the present inventi...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a collaborative service deployment and business distribution method oriented to the regional edge computing Internet of Things, and relates to the fields of edge computing and the Internet of Things. In order to improve resource availability in edge computing IoT service deployment and reduce network deployment costs, the present invention first constructs a regional edge computing IoT edge server collaboration model, and then proposes a service deployment problem in edge servers that minimizes deployment costs Modeled as a vector bin packing problem. And through a minimum resource proportion incremental heuristic algorithm to determine the minimum number of servers and the initial business allocation results. After that, in order to balance the network load and reduce the forwarding load of the network management unit, the iterative search mobile switching heuristic algorithm is used to redistribute the business to the locally deployed edge server to maximize the number of business computing tasks processed by the local edge server.
Description
technical field [0001] The invention belongs to the field of edge computing Internet of Things, and in particular relates to a collaborative service deployment and service distribution method for regional edge computing Internet of Things. Background technique [0002] Edge computing technology can make up for the uncertain delay caused by Internet transmission in the traditional cloud service architecture by deploying edge servers with relatively strong computing power and abundant resources in the access network near the user at the network edge. Therefore, edge computing technology is regarded as a key technology in the implementation and application of intelligent Internet of Things in the future. However, in the practical application of edge computing, due to the relatively limited processing capability and resources of the edge server, it is necessary to allocate and schedule services in practical applications. [0003] In practical application scenarios, the computin...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08
CPCH04L67/1023H04L67/12
Inventor 孙彦景陈岩张亮徐宏力侯晓峰王斌程小舟陈晓晶杨俊秋
Owner CHINA UNIV OF MINING & TECH