A Variable Period Mobile Edge Computing Offloading Decision-Making Method Considering Multiple Resource Constraints

A decision-making method and edge computing technology, applied in transmission systems, electrical components, etc., can solve problems such as poor scalability, strong assumptions and ignoring resource constraints

Active Publication Date: 2022-05-10
BEIHANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The problem solved by the technology of the present invention is: to overcome the shortcomings of existing models that make strong assumptions and ignore resource constraints, and at the same time solve the problem of poor scalability of existing decision-making methods

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  • A Variable Period Mobile Edge Computing Offloading Decision-Making Method Considering Multiple Resource Constraints
  • A Variable Period Mobile Edge Computing Offloading Decision-Making Method Considering Multiple Resource Constraints
  • A Variable Period Mobile Edge Computing Offloading Decision-Making Method Considering Multiple Resource Constraints

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Embodiment Construction

[0048] In the field of edge computing, the invention provides a simulation model of mobile edge computing considering multi resource constraints, and gives a feasible decision-making method for computing force unloading. The specific embodiment of the invention will be further described in detail below in combination with the attached drawings. The following embodiments or drawings are used to illustrate the invention, but are not used to limit the scope of the invention.

[0049] Consider that there is an edge server with limited computing power resources, a macro base station and multiple micro base stations in the edge computing system as the communication intermediary between the mobile edge server and UE, and set each base station to have multiple passbands with different signal gains. Figure 1 The composition diagram of the edge computing simulation model is shown. The unloading path passes through the base station to the edge server. The time delay basically includes two tr...

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Abstract

The invention relates to a variable-period mobile edge computing unloading decision-making method considering multi-resource constraints, and an edge computing simulation model for testing the method. The simulation model takes into account the limitations of various resources, including the local computing power and communication capabilities of user mobile devices, the computing power of edge servers, and the limitations of communication channels; many parameters of the model are randomly generated according to uniform distribution. Based on the above model, combined with the depth-determined strategy gradient descent deep reinforcement learning method, a feasible variable-period unloading decision-making method is designed. The task failure rate, energy consumption, and delay are used as optimization indicators, and the calculation offloading decision and signal transmission channel are simultaneously performed. and edge server computing power distribution. The main advantage of the present invention is that the established model environment fits the reality because of its large randomness and consideration restrictions, and the variable-period decision-making learning method overcomes the time delay caused by tasks waiting for decision-making time slots.

Description

technical field [0001] The invention relates to a variable period mobile edge computing unloading decision method considering multi resource constraints, and an edge computing simulation model for testing the method - although the title only includes the unloading decision method. The proposed model is close to the practical application environment, and the calculation unloading decision-making method has good applicability. Background technology [0002] Mobile edge computing is widely regarded as a new paradigm complementary to cloud computing. The idea behind it is to strategically arrange computers with high computing performance close to user equipment in the network. Users of mobile devices can unload computing tasks to their adjacent edge servers through wireless network, and then send the computing operation results of the servers back to the local area. Local energy consumption and computing delay can be reduced, This improves the user experience. [0003] Unloading deci...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L41/0823H04L41/0893H04L41/14H04L67/1004
CPCH04L41/0823H04L41/0893H04L41/145H04L67/1004
Inventor 王岩李子建
Owner BEIHANG UNIV
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