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MEC calculation unloading method for joint optimization of delay and energy consumption

A computing offloading and joint optimization technology, applied to electrical components, transmission systems, etc., can solve problems such as poor offloading service quality and low effective utilization of resources

Inactive Publication Date: 2022-01-28
JIAXING UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The present invention aims at the mobile edge computing environment, where the device types are dynamic and complex, and when multi-users unload calculations on multiple servers, they face user offloading requests to compete for server resources, leading to optimal offloading, low effective utilization of resources, and offloading service quality In order to solve the problem of poor performance, a MEC computing offloading method based on joint optimization of delay and energy consumption is provided. This method takes delay and energy consumption as constraints, establishes a calculation offloading cost evaluation model, designs a server selection operator, and preferentially selects the server that satisfies the task response delay. The server performs offloading calculations, and converts the calculation offloading decision-making problem into a 0-1 knapsack problem, and designs the COSIDE algorithm with response delay, energy consumption and server load as the fitness value function for the server selection problem; the simulation results show that the system model can reduce Latency and energy consumption, balance server load, realize stable, low-overhead efficient computing offload

Method used

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  • MEC calculation unloading method for joint optimization of delay and energy consumption
  • MEC calculation unloading method for joint optimization of delay and energy consumption
  • MEC calculation unloading method for joint optimization of delay and energy consumption

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Embodiment

[0072] Assuming a mobile edge computing scenario, base stations and edge servers are used as super nodes, and mobile terminals such as mobile phones and computers are used as edge nodes, such as Figure 4 As shown, the scale of super nodes is E={e 1 ,e 2 ,...,e m}, the scale of edge nodes is U={u 1 ,u 2 ,...,u n}; Aggregate all nodes with the super node as the center to build a mobile edge computing network, realize edge computing resource sharing, and provide task offloading collaborative services;

[0073] assumptions:

[0074] 1) Each server can connect to all users, and the channels do not interfere with each other. The user terminal generates 10 computing tasks in a unit time slot, and the generation time interval of each task follows a negative exponential distribution; the unloading between users and servers in the same time slot Negligible time and energy overhead for negotiation;

[0075] 2) The task can be completed by local computing or offloading computing. ...

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Abstract

The invention discloses a delay and energy consumption joint optimization MEC computing unloading method, and aims to solve the problems that in computing unloading of multiple users to multiple servers of an MEC, server resources are scrambled by unloading requests of the users, optimal unloading occurs, the effective utilization rate of the resources is low, the unloading service quality is poor and the like. According to the method, delay and energy consumption serve as constraints, an unloading cost evaluation model is constructed and calculated, in order to determine an unloading target, a server selection operator is designed, a server meeting task response delay is preferentially selected to execute unloading calculation, and an improved difference algorithm with response delay, energy consumption and server load serving as fitness functions is designed; an unloading decision with a low adaptive value is searched, and low-overhead and load-balanced efficient calculation unloading is realized; simulation experiments prove that the method reduces the delay and energy consumption of the mobile edge computing network, improves the task satisfaction response delay rate, balances the load of the server, and improves the user satisfaction, energy consumption efficiency and stability of the mobile edge computing system.

Description

technical field [0001] The invention relates to the technical field of mobile edge computing, in particular to an MEC computing unloading method for joint optimization of delay and energy consumption. Background technique [0002] With the rapid arrival of the Internet of Everything era, the number of mobile smart terminals such as mobile phones and pads and network traffic data are increasing rapidly, and applications such as face recognition, automatic driving, and mobile augmented reality are becoming more and more complex. Such applications are highly time-sensitive and require large resources. As a new type of computing model, Mobile Edge Computing (MEC) responds to users' offloading requests in real time by deploying servers at the edge of the network close to users, so as to realize local and fast network services; effective Fusion scheduling resources to meet the huge and diverse computing needs is an important content of MEC research. As one of the key technologies ...

Claims

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Application Information

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IPC IPC(8): H04L67/10H04L67/1008H04L67/1004H04L67/101
CPCH04L67/10H04L67/1008H04L67/1023H04L67/101
Inventor 张先超杨忠明乐光学宋逸杰陈丽萍杨晓慧马柏林
Owner JIAXING UNIV
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