Scheduling system and decision-making method for service deployment and migration in mobile edge calculation environment

A technology of edge computing and decision-making method, applied in computing, program control design, program startup/switching and other directions, which can solve problems such as insufficient mobility of user areas

Active Publication Date: 2020-05-01
NANJING UNIV OF POSTS & TELECOMM
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In traditional mobile communications, the method of switching sessions to maintain communication when users handover is used to migrate services. The solution of simply migrating the servic

Method used

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  • Scheduling system and decision-making method for service deployment and migration in mobile edge calculation environment
  • Scheduling system and decision-making method for service deployment and migration in mobile edge calculation environment
  • Scheduling system and decision-making method for service deployment and migration in mobile edge calculation environment

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Embodiment Construction

[0086] see figure 1 , the scheduling system for service deployment and migration when users cross regions under the mobile edge computing environment provided by this embodiment is composed of two parts, namely the service scheduling node SS and multiple mobile edge computing nodes M1, M2, and M3. Scheduling node correspondence figure 1 In 102, the mobile edge computing node corresponds to figure 1 In 104, the service scheduling node SS is responsible for managing the deployment and scheduling of the mobile edge computing nodes M1, M2, M3 and services.

[0087] Mobile edge computing nodes are deployed in independent service areas, receive user service requests, and directly provide services to users in the service area. The service area of ​​the mobile edge computing node is similar to a honeycomb, and there are multiple users in each area to send service requests to the system, corresponding to figure 1 C1, C2, and C3 in 106 in. In order to release the burden of the c...

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Abstract

The invention discloses a scheduling system and a decision-making method for service deployment and migration in a mobile edge calculation environment. According to the method, decision calculation ofservice scheduling is carried out on a user service request by taking a service quality guarantee of user mobile handover as a target, and an optimization scheme of service deployment and migration is generated, wherein the service deployment and migration scheme is expressed as a deployment matrix; performing iterative optimization on a plurality of pre-defined deployment matrixes by decision calculation; wherein the optimization target comprises signal propagation delay from a user to a service, a resource occupancy rate and migration time of the service, and the optimization step comprisesmatrix scoring, weighted random selection and reconstruction according to scores, inter-matrix row crossing and single matrix element displacement, and performing constraint test on a result, whereinthe completion condition of the decision calculation is that the number of iterations reaches a preset value, or the number of continuous iterations which do not meet the constraint reaches a presetvalue. The invention provides an efficient service scheduling method for user handover of mobile edge calculation.

Description

technical field [0001] The invention belongs to the technical field of mobile edge computing, and in particular relates to a scheduling system and a decision-making method for service deployment and migration in a mobile edge computing environment. Background technique [0002] Mobile edge computing technology extrapolates or sinks the computing power to the access edge of the mobile cellular communication network, facilitates its deep integration with cloud computing services, minimizes the end-to-end transmission delay of delivered services, and improves user experience quality . The basic characteristics of mobile edge computing include service localization, short transmission distance, and low service delivery delay. At the same time, it can provide user location awareness and other network capabilities for services, which can greatly improve resource utilization efficiency. (For details, see M.Patel, B.Naughton, C.Chan.Mobile-Edge Computing Introductory Technical White...

Claims

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Application Information

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IPC IPC(8): G06F9/50G06F9/48
CPCG06F9/5061G06F9/5088G06F9/5027G06F9/4806Y02D30/70
Inventor 王文鼐余洵徐海刚陶建波王斌
Owner NANJING UNIV OF POSTS & TELECOMM
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