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Task calculation unloading decision and scheduling method for energy capture network model

A technology of energy capture and computing offloading, applied in computing, network topology, program control design, etc., can solve the problem of limited cache capacity of edge servers, achieve the effects of reducing time, uploading, and simple task scheduling

Pending Publication Date: 2021-01-15
ZHEJIANG UNIV OF TECH
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  • Claims
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Problems solved by technology

At present, when using edge computing to process model tasks, due to the reusability of the models in the model tasks, if there is a corresponding computing model in the Cache, then unloading such computing tasks only needs to unload the data. The efficiency of computing tasks is relatively high, so how to schedule the unloading sequence of computing tasks according to the model situation in the cache is also very important; on the other hand, since the cache capacity of the edge server is limited, when the cache capacity is saturated, how to eliminate the cache The existing models in will directly affect the efficiency of computing task offloading

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  • Task calculation unloading decision and scheduling method for energy capture network model
  • Task calculation unloading decision and scheduling method for energy capture network model
  • Task calculation unloading decision and scheduling method for energy capture network model

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Embodiment Construction

[0037] The present invention will be further described below in conjunction with the accompanying drawings.

[0038] refer to Figure 1 ~ Figure 4 , an energy harvesting network, model task computing offloading decision-making and scheduling method, its scenario is as follows figure 1 As shown, a single base station multi-user system includes m users, use UE k express, per UE k There is only one antenna, which can only capture energy from the base station or upload tasks to the base station at the same time. The system contains only one base station, which integrates RF transmitters, edge servers (MEC Servers) and caches (Cache), and has only one antenna. It can only broadcast and transmit RF energy or receive upload tasks from one user at a time. The Cache storage capacity is denoted by C. Since the model in the model task is reusable, when the model of a certain type of task already exists in the Cache, the unloading task does not need to repeatedly unload the model....

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Abstract

The invention discloses a task calculation unloading decision and scheduling method for an energy capture network model. The method comprises the following steps of: counting a task generation type and a specific calculation amount; enabling the user equipment to capture energy in a unified manner; reasonably utilizing a Cache model to carry out calculation unloading; dynamically adjusting a modelin the Cache; determining a target function and a limiting condition, and establishing a problem model; and solving the mathematical problem with hybrid discrete continuous optimization by adopting an LRU replacement algorithm and a genetic algorithm so as to obtain an unloading decision of task calculation and a task unloading sequence. According to the invention, a reasonable task scheduling scheme is realized, and the speed of completing all calculation tasks can be effectively improved.

Description

technical field [0001] The invention belongs to the technical field of energy harvesting wireless sensor networks, in particular to a calculation offload decision-making and scheduling method for model tasks in an energy harvesting network. Background technique [0002] Energy consumption has always been one of the core issues of wireless networks. The proposal of radio frequency energy harvesting technology provides a new solution for energy-constrained wireless network power supply. It ensures its normal operation by capturing radio frequency energy in the environment for information processing and transmission. [0003] With the emergence of more and more computing-intensive applications, the energy harvesting network cannot meet the needs of these applications in a short period of time due to the limitation of the energy it captures. Offloading part of computing tasks to edge servers through edge computing is a feasible solution. At present, when using edge computing ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/445G06F9/48G06F9/50H04W52/34H04W84/18
CPCG06F9/44594G06F9/4881G06F9/5016G06F9/5027H04W52/34H04W84/18G06F2209/509
Inventor 田贤忠陈加伦闵旭周璐
Owner ZHEJIANG UNIV OF TECH
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