Distributed nonequilibrium edge cloud network access and resource allocation mechanism

A resource allocation, non-balanced technology, applied in advanced technology, climate sustainability, sustainable communication technology, etc., can solve problems such as high information exchange overhead and slow algorithm convergence

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

Problems solved by technology

In this case, the system migration decision and resource allocation design need to jointly consider the delay-energy-cost trade-off; third, the existing algorithms are all centralized a

Method used

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  • Distributed nonequilibrium edge cloud network access and resource allocation mechanism
  • Distributed nonequilibrium edge cloud network access and resource allocation mechanism

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Experimental program
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Embodiment Construction

[0049] The present invention will be further described below in conjunction with embodiment:

[0050] 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, with 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 Depict, respectively represent the cost of wireless network access point Bj accessing edge cloud servers C1 and C2. For example, for wireless network access base sta...

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Abstract

The invention discloses a distributed nonequilibrium edge cloud network access and resource allocation mechanism and belongs to the field of mobile cloud computing and mobile edge computing. Accordingto the mechanism, when each round of resource allocation is carried out, for multiuser multitasks, service requests are sent to radio access base stations and edge cloud servers in the optimum pathsbased on available radio access base stations and edge cloud servers; if resources required by the service requests of the edge cloud servers exceed the maximum available resources, the tasks are reserved, and the other user tasks are refused; and the edge cloud servers update current service user task sets according to refuse information, and for the refused user tasks, the steps are repeatedly carried out based on updated data, until all user tasks are unloaded completely or all tasks have no accessible radio access base stations and edge cloud servers. According to the mechanism, total multiuser multitask unloading delay-energy consumption-cost weighted sum can be clearly reduced.

Description

technical field [0001] The invention belongs to the field of mobile cloud computing and mobile edge computing, and in particular relates to a distributed unbalanced edge cloud network access and resource allocation mechanism. Background technique [0002] Mobile Internet and mobile application innovation still face three major contradictions: the demand for computing-intensive applications on mobile devices is increasing rapidly but the computing power and battery capacity of mobile devices are limited; the demand for mobile cloud access is increasing rapidly but the access capability is limited; There are more and more operators, but the pipeline of the operator's network is serious and the average revenue per user is constantly decreasing. In order to solve the above contradictions, a new technology of Mobile Edge Computing (MEC, Mobile Edge Computing) was proposed, which is defined as "a new technology that provides IT and cloud computing capabilities in a radio access ne...

Claims

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Application Information

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IPC IPC(8): H04W72/04
CPCH04W72/53Y02D30/70
Inventor 蒋卫恒邬小刚赖琴蒲金伟胡凯棚曾艳
Owner CHONGQING UNIV
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