Load-aware cloud-edge cooperative service deployment method

A collaborative service and load-aware technology, applied in the field of edge computing, can solve the problems of unable to keep up with data, slow drop speed, and difficult to improve network delay, and achieve the effect of improving service quality and minimizing response time.

Active Publication Date: 2020-11-06
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

At present, the growth rate of network bandwidth often cannot catch up with the growth rate of data, and the decrease rate of network bandwidth cost is much slower than the

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  • Load-aware cloud-edge cooperative service deployment method
  • Load-aware cloud-edge cooperative service deployment method
  • Load-aware cloud-edge cooperative service deployment method

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Embodiment Construction

[0053] The present invention will be described in detail below in conjunction with various embodiments shown in the drawings. However, these embodiments do not limit the present invention, and structural, method, or functional changes made by those skilled in the art according to these embodiments are included in the protection scope of the present invention.

[0054] ginsengfigure 1 As shown, the present invention discloses a load-aware cloud-edge collaborative service deployment method, including:

[0055] S1. Obtain priority variables according to the system parameters of the mobile edge computing system. The mobile edge computing system includes several edge nodes and a centralized cloud;

[0056] S2. Dynamically adjust and deploy services according to priority variables.

[0057] The present invention will be further described below in conjunction with specific examples.

[0058] ginseng figure 2 As shown, a load-aware cloud-side collaborative service deployment metho...

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Abstract

The invention discloses a load-aware cloud-edge collaborative service deployment method, which comprises the following steps that: S1, a priority variable is acquired according to the system parameters of a mobile edge computing system, and the mobile edge computing system comprises a plurality of edge nodes and a centralized cloud; and S2, the service is dynamically adjusted and deployed according to the priority variable. According to the method, service load distribution is taken as a main factor, nodes and service priorities are defined, and the priorities are dynamically adjusted according to deployed service conditions, so that the response time of a service request can be minimized, and the service quality is improved.

Description

technical field [0001] The invention belongs to the field of edge computing, and in particular relates to a load-aware cloud-edge collaborative service deployment method. Background technique [0002] Mobile edge computing (MEC) has received increasing attention as an effective method to solve the network latency problem and improve the existing network structure. MEC adopts the method of deploying servers at the edge of the network to offload cloud resources to the vicinity of data sources, reducing the delay caused by network transmission and meeting the low-latency requirements of many services. This technology not only reduces the burden on cloud servers, but also improves service quality. However, with the gradual development of the Internet of Everything era, data-intensive applications not only put forward higher requirements for low-latency response of services, but also consume a lot of resources (such as storage, computing, and communication bandwidth). The bigge...

Claims

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Application Information

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IPC IPC(8): H04L29/08H04W28/24G06F9/50G06F9/48
CPCH04L67/1008H04W28/24G06F9/4881G06F9/5072H04L67/61
Inventor 李鑫滕美艳秦小麟
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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