MEC-based task cache allocation strategy applied in mobile edge computing network

A buffer allocation and edge computing technology, applied in the field of wireless communication, can solve the problem that telecom operators are difficult to manage the network effectively

Inactive Publication Date: 2019-02-19
CHONGQING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
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Problems solved by technology

This sporadic video traffic behavior makes it difficult

Method used

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  • MEC-based task cache allocation strategy applied in mobile edge computing network
  • MEC-based task cache allocation strategy applied in mobile edge computing network
  • MEC-based task cache allocation strategy applied in mobile edge computing network

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Embodiment Construction

[0025] In order to express the object, technical solution and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific implementation cases.

[0026] figure 1 The present invention is used in the flow chart of MEC-based task buffer allocation strategy in mobile edge computing network, and the strategy includes the following steps:

[0027] Step 101: using an edge cache system architecture of a MEC server;

[0028] Step 102: Utilize the cooperation function of the MEC server to perform cache merging and splitting of tasks;

[0029] Step 103: Perform access delay and energy consumption analysis under constraints;

[0030] Step 104: optimize the access delay and energy consumption by using the coordinate descent algorithm;

[0031] figure 2 It is a system model diagram of the MEC-based task cache allocation strategy used in the mobile edge computing network of...

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Abstract

The invention discloses an MEC-based task cache allocation strategy applied in a mobile edge computing network. The MEC-based task cache allocation strategy comprises the steps: an edge cache system architecture of MEC servers is used; cache merging and cache segmenting of a task are conducted by means of a collaboration function of the MEC servers; access delay and energy consumption analysis areconducted under constraint conditions; and access delay and energy consumption are optimized by means of a coordination descent algorithm. Accordingly, more videos can be effectively cached on the MEC servers, the access delay is greatly shortened, and the energy consumption is greatly reduced.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to task cache allocation based on MEC in a mobile edge computing network. Background technique [0002] According to Cisco Mobile Data Traffic Forecast, global data traffic is expected to reach 49 exabytes per month in 2021. Video traffic currently accounts for 60% of total smartphone traffic and is expected to grow to 78% by 2021. Telecom operators are facing tremendous pressure, requiring them to expand their network capacity to cope with such huge traffic. [0003] Video traffic accessed over cellular networks is intermittent and often very high during peak versus off-peak hours. This sporadic video traffic behavior makes it difficult for telecom operators to effectively manage the network. Contents of the invention [0004] Aiming at the deficiencies of the above existing technologies, the present invention proposes a task cache allocation strategy ba...

Claims

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Application Information

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IPC IPC(8): H04W4/50H04N21/433H04L29/08H04W28/10
CPCH04N21/433H04W4/50H04W28/10H04L67/568Y02D30/70
Inventor 张海波许云飞刘开健
Owner CHONGQING UNIV OF POSTS & TELECOMM
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