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Cooperative edge server deployment and resource scheduling method, storage medium and system

An edge server and resource scheduling technology, applied in resource allocation, transmission system, network traffic/resource management, etc., can solve problems such as ignoring the scientific deployment of edge servers, reduce deployment costs and overall energy consumption, and solve single point failures problems, reducing the effect of expected task response time

Pending Publication Date: 2022-04-15
CHONGQING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

In mobile edge computing, most studies assume that the edge server has been properly deployed or that there is an edge server on each base station. They only focus on the impact of task offloading, resource allocation, and service migration strategies on latency, energy consumption, etc. Scientific deployment of edge servers is also an important factor

Method used

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  • Cooperative edge server deployment and resource scheduling method, storage medium and system
  • Cooperative edge server deployment and resource scheduling method, storage medium and system
  • Cooperative edge server deployment and resource scheduling method, storage medium and system

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Embodiment Construction

[0080] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0081] The technical scheme that the present invention solves the problems of the technologies described above is:

[0082] A collaborative edge server deployment and resource scheduling strategy comprising the following steps:

[0083] S1. Obtain the location of the base station based on the Shanghai Telecom base station data set, and construct a base station set B={B 1 ,B 2 ,...,B M} and edge server set S = {S 1 ,S 2 ,...,S N} (M≥N). The topology of base stations and edge servers is expressed as an undirected graph G=(V, E), where V=BU S represents a collection of base stations and edge servers. Assume that the edge server is co-located with the base station, so it has a total of M possible deplo...

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Abstract

The invention discloses a collaborative edge server deployment and resource scheduling method, a storage medium and a system, and the method specifically comprises the steps: S1, building a cost and energy consumption optimization model of collaborative edge server deployment according to the access delay and the capacity of an edge server; s2, acquiring an initial solution, and mapping a plurality of edge servers by the base station; adjusting the existing mapping according to capacity and delay constraints; s3, adjusting the number of deployed edge servers and the mapping relation by adopting a fireworks algorithm based on elimination of the loser, and obtaining a reasonable edge server deployment scheme; s4, based on a deployment result, establishing an expected response time optimization model of dynamic resource scheduling, and S5, dynamically adjusting mapping between the edge server and the base station by using a hybrid algorithm combining a bare bone fireworks algorithm and a genetic algorithm. According to the method, the collaboration between the servers is considered, and the user experience is improved; the overall energy consumption and deployment cost of the system are reduced, and the expected response time of the base station is shortened.

Description

technical field [0001] The invention belongs to the field of mobile edge computing edge server deployment, and in particular relates to cooperative edge server deployment and resource scheduling strategies. Background technique [0002] With the rapid development of the mobile Internet, applications such as remote office, telemedicine, augmented reality, interactive games, virtual reality, and Internet of Vehicles have proliferated, and the massive data they generate all rely on cloud platforms for processing. However, the centralized data processing mode can no longer meet their requirements in terms of delay, security and reliability. Mobile edge computing is a technology that provides users with IT services and computing capabilities at the edge of the network. It has the characteristics of proximity, low latency, and high bandwidth. Therefore, it is regarded as a key technology to solve the above problems. Many Internet companies and scientific research institutions hav...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W28/08H04L67/101H04L67/1008G06N3/12G06N3/00G06F9/50
CPCH04W28/0917H04W28/0975H04W28/0933H04L67/1008H04L67/101G06F9/5072G06N3/006G06N3/126Y02D30/70
Inventor 何利石嘉祥
Owner CHONGQING UNIV OF POSTS & TELECOMM
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