Nonequilibrium edge cloud network access and resource allocation mechanism based on fairness criterion

A resource allocation and fairness technology, applied in network traffic/resource management, data exchange network, digital transmission system, etc., can solve problems such as lack of user service fairness consideration

Active Publication Date: 2019-03-29
CHONGQING UNIV
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AI Technical Summary

Problems solved by technology

In the existing mobile edge network resource allocation, there is a lack of consideration of user service fairness, and there is an urgent need to implement a network access and resource allocation mechanism based on user service fairness

Method used

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  • Nonequilibrium edge cloud network access and resource allocation mechanism based on fairness criterion
  • Nonequilibrium edge cloud network access and resource allocation mechanism based on fairness criterion

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Embodiment Construction

[0045] The present invention will be further described below in conjunction with embodiment:

[0046] figure 1 The network includes four mobile users (or tasks, applications) S1, S2, S3 and S4, three wireless network access base stations B1, B2 and B3, and two edge cloud servers C1 and C2. Any user Si (i=1,...,4) computes the offload task by a quaternion portray; among them, Indicates the user Si task computing resource demand, and Denote the delay-energy weighted cost of user Si accessing B1, B2 and B3 respectively. For example, for users S1 and (2,3,2,5), the computing resource requirement for offloading computing tasks is 2 units, and the delay-energy weighted costs of accessing B1, B2, and B3 are 3, 2, and 5, respectively. . Any wireless network access point Bj (j=1,...,3) consists of a two-tuple Depicted, represent the cost of wireless network access point Bj accessing edge cloud servers C1 and C2 respectively. For example, for wireless network access base st...

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Abstract

The invention discloses a nonequilibrium edge cloud network access and resource allocation mechanism based on a fairness criterion and belongs to the field of mobile cloud computing and mobile edge computing. According to the mechanism, through utilization of a round robin algorithm, when each resource allocation round robin is started, a user who obtains task migration authority is determined according to a defined unloading priority parameter. The user with the minimum unloading priority parameter obtains the task migration authority of the round robin. After the user obtains the task migration authority is determined, a VDC (Virtual Decision Center) determines migrated tasks and migration paths through computing of unloading total delay-energy consumption-cost weighted sums of all tasksof the user, and the task with the minimum unloading total delay-energy consumption-cost weighted sum is migrated preferentially. The round robin is carried out until the algorithm is finished. According to the method, multiuser multitask unloading decision and resource allocation in a nonequilibrium edge cloud network can be realized, and on the premise of clearly reducing the multiuser multitask unloading total delay-energy consumption-cost weighted sums, service fairness among the users can be ensured.

Description

technical field [0001] The invention belongs to the field of mobile cloud computing and mobile edge computing, in particular to an unbalanced edge cloud network access and resource allocation mechanism based on fairness criteria. Background technique [0002] In recent years, a new technology called Mobile Edge Computing (MEC, Mobile Edge Computing) has been proposed. In essence, mobile edge computing technology can be seen as an extension or expansion of mobile cloud computing technology to the edge of the network. In fact, the concept of MEC was first proposed by the European Telecommunications Standards Institute (ETSI, European Telecommunications Standards Institute) in 2014, which is defined as "providing IT and A New Platform for Cloud Computing Capabilities". In this model, massive computing and storage resources are placed at the edge of the network, close to mobile devices or sensors. Therefore, mobile users can migrate computing-intensive tasks to the MEC server...

Claims

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Application Information

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IPC IPC(8): H04L29/08H04L12/911H04L12/927H04W28/02H04L47/80
CPCH04L47/70H04L47/805H04W28/0221H04W28/0236H04L67/51
Inventor 蒋卫恒赖琴邬小刚张瑜周晓珊徐萌莹
Owner CHONGQING UNIV
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