Network unloading method based on mixed cloud computation

A computing offloading and hybrid cloud technology, applied in data exchange networks, digital transmission systems, electrical components, etc., can solve problems such as low offloading efficiency and difficulty in meeting the offloading needs of a large number of users

Active Publication Date: 2018-09-14
DALIAN UNIV OF TECH
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Problems solved by technology

Most of the existing work focuses on cloud computing or edge computing as an offloading platform alone. The

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  • Network unloading method based on mixed cloud computation
  • Network unloading method based on mixed cloud computation
  • Network unloading method based on mixed cloud computation

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Embodiment Construction

[0069] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the specific embodiments of the present invention will be described in further detail below.

[0070] The example of the present invention provides a network offloading model based on hybrid cloud computing. The model includes three parts: a mobile cloud computing platform, a mobile boundary computing platform, and user equipment, and an iterative heuristic mobile boundary computing resource allocation algorithm. It is divided into three steps:

[0071] Step 1: Set the simulation parameters.

[0072] To simplify the model, this model assumes that all user devices and applications are the same. This model can be easily extended to consider different users running different applications. The total frequency band is divided into 10 sub-channels, and the bandwidth of each channel is 0.2 MHz. The detailed information is shown in Table 1.

[0073] Table 1 Simulation parameter set...

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Abstract

The invention provides a network unloading method based on mixed cloud computation. The model defines transmission delay, processing delay and total delay for computing unloading computation beginningfrom the single-user unloading computation problem, and a single-user optimal solution is obtained by using a branch-bound algorithm. The boundary computing resource limitation and the transmission interference between the users are considered on this basis, the multi-user computing unloading problem is modelled as a hybrid integer linear planning MILP problem; due to the high computation complexity of the MILP problem, the model designs an iterative heuristic moving boundary computation resource allocation IHRA algorithm to solve the MILP problem and makes the unloading decision. A simulation result shows that the IHRA algorithm designed by the invention is superior to the standard algorithm in the application program running delay and unloading efficiency, and a new solution scheme is provided for the resource allocation problem of the hybrid cloud computation network unloading model.

Description

Technical field [0001] The invention relates to a model for efficient computing offloading based on mobile computing in the field of network science, in particular to an efficient network offloading method based on hybrid cloud computing. Background technique [0002] With the continuous development of latency-sensitive applications (such as augmented reality), latency limitations have become a major obstacle to running complex applications on mobile devices. In order to improve the quality of user services, cloud computing and boundary computing have come out one after another, providing users with abundant computing and storage resources and becoming the core framework of next-generation mobile communications. The computing offloading technology relies on the rich resources of cloud computing or boundary computing to implement mobile application execution outside the device, which greatly reduces the time and energy consumption of user equipment. Most of the existing work focu...

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Application Information

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IPC IPC(8): H04L12/911H04L29/08
CPCH04L47/70H04L47/783H04L67/10
Inventor 宁兆龙董沛然孔祥杰夏锋
Owner DALIAN UNIV OF TECH
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