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Calculation task dynamic unloading method based on energy consumption and delay trade-off in vehicle fog calculation

A computing task and dynamic unloading technology, applied in the field of fog computing applications, can solve problems such as balance without considering energy consumption and delay trade-offs

Active Publication Date: 2020-05-08
HARBIN INST OF TECH
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  • Application Information

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Problems solved by technology

The fog computing environment of this prior art is not dynamically changing, and does not consider the balance of energy consumption and delay trade-off

Method used

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  • Calculation task dynamic unloading method based on energy consumption and delay trade-off in vehicle fog calculation
  • Calculation task dynamic unloading method based on energy consumption and delay trade-off in vehicle fog calculation
  • Calculation task dynamic unloading method based on energy consumption and delay trade-off in vehicle fog calculation

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Embodiment Construction

[0064] combined with Figure 1-7 , the method for dynamically offloading computing tasks based on energy consumption and delay tradeoffs in a vehicle fog computing according to the present invention is described as follows:

[0065] First define the system architecture of VFC, such as figure 1 As shown, it is organized in hierarchical order, such as cloud layer, cloudlet layer, and user device layer. The cloud layer is also a cloud data center, which is responsible for computing resource allocation, communication resource coordination, task placement, etc., and is located at the top. The user device layer includes any typical client with sensors, cameras, on-board computers, and GPS devices. This layer generates a large amount of data but cannot handle it due to energy, latency, and resource constraints. Cloudlet layer consists of two kinds of nodes: cloudlet node and vehicle node. Cloudlet nodes are responsible for data and process management and can be deployed across net...

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Abstract

The invention discloses a calculation task dynamic unloading method based on energy consumption and delay trade-off in vehicle fog calculation, and belongs to the technical field of fog calculation application. In order to make full use of computing resources of nearby vehicles, tasks of the cloud nodes are issued to the vehicle nodes from the cloud nodes, overload of the cloud nodes is reduced,service delay in peak hours is reduced and electric energy is saved for the cloud nodes powered by batteries. The method includes: defining a VFC environment corresponding to the unloading method; constructing an energy consumption cost for a single task of a single vehicle node, the energy consumption cost being a weighted sum of total energy consumption and total delay: constructing a joint objective function for models of energy consumption and delay of all tasks of all nodes in a VFC environment, giving constraint conditions and defining an optimization problem; and aiming at the optimization problem in the step 3, solving a vehicle node to which each task should be unloaded when the joint target function reaches a minimum value, thereby obtaining an optimal task unloading scheme. According to the invention, energy consumption is reduced, and overall processing delay is reduced.

Description

technical field [0001] The invention relates to a computing task unloading method in a vehicle fog computing environment, and belongs to the technical field of fog computing applications. Background technique [0002] With the development of IoT and communication technologies, the exponential increase in computing requirements and data rates has become a key issue. Examples include emerging 5G applications such as infotainment applications, interactive gaming, fleet tracking, blockchain, and natural language processing. These complex applications require advanced computing, data communication, storage, and energy consumption technologies to handle complex storage and data processing operations, which pose new challenges to the traditional cloud computing model. Due to the great distance between remote data centers and user equipment, it is difficult to guarantee strict quality of experience and quality of service requirements. To address this issue, fog computing has been ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/445G06F9/50H04L29/08
CPCG06F9/44594G06F9/5022G06F9/5016G06F9/5027G06F9/5072H04L67/10H04L67/1008H04L67/1029H04L67/1023H04L67/12Y02D10/00
Inventor 张伟哲李蔚恒刘川意方滨兴何慧王德胜景晓军李虎李志刚余翔湛刘亚维崔丽杰
Owner HARBIN INST OF TECH
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