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Distributed cloud computing system and method based on human brain simulation

A distributed cloud computing, distributed computing technology, applied in the field of cloud computing, can solve problems such as not solving the problem of distributed computing efficiency

Inactive Publication Date: 2021-04-23
乐陵欧曼电子科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The emphasis is on the storage of distributed computing. At the same time, resource allocation is not combined with the specific conditions of computing tasks, and the efficiency of distributed computing is still not solved.

Method used

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  • Distributed cloud computing system and method based on human brain simulation
  • Distributed cloud computing system and method based on human brain simulation
  • Distributed cloud computing system and method based on human brain simulation

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] Such as figure 1 As shown, a distributed cloud computing system based on human brain simulation, the system includes: including: a distributed computing cloud cluster, including a plurality of cloud nodes in the cloud node cluster; each cloud node has different computing characteristics; according to According to different computing characteristics, the cloud nodes include at least the following three types: image computing cloud nodes, digital computing cloud nodes, and storage computing cloud nodes; the cloud nodes all include: a collection node and several distributed computing nodes; The converging node is configured to allocate the received computing tasks to the distributed computing nodes based on the current resource occupancy of each distributed computing node; the distributed computing nodes are configured to calculate the received computing tasks After the calculation result is obtained, the calculation result is returned to the collection node; the system al...

Embodiment 2

[0035] On the basis of the previous embodiment, the transfer node includes: a task analysis node configured to analyze the received computing task and determine the type of the computing task; a pathfinding node configured to analyze the computing task based on distributed Calculate the resource occupancy status of each cloud node in the cloud cluster and the location information of each cloud node, and send it to the corresponding cloud node after path planning.

[0036] Specifically, in the existing distributed computing method of processing computing tasks in units of server clusters, a server cluster can only implement one computing task processing method. When there are many computing task processing methods, it is necessary to deploy Only a large number of server clusters can meet the processing requirements of computing tasks, so the construction cost of server clusters is greatly increased. Moreover, the utilization rate of each server cluster is different, and the serv...

Embodiment 3

[0038] On the basis of the previous embodiment, the pathfinding node sends the computing task to the The corresponding cloud node method performs the following steps: randomly select N cloud nodes in the distributed computing cloud cluster; among the selected N nodes, determine a central node whose coordinates are (0,0); define the minimum transmission chain, The transmission minimum chain includes: the transmission minimum chain root node and the transmission minimum chain sub-node; the other nodes that the transmission minimum chain sub-node can connect to; consider the resource occupancy rate L of each cloud node mn , transmission distance P mn , channel security B mm and k value to update the algorithm formula of path planning, where k value is the number of neighbor nodes: m and n represent nodes; data transmission is carried out according to the established path, and the child nodes in the transmission minimum chain transmit the collected data to the parent node , the ...

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Abstract

The invention belongs to the technical field of cloud computing, and particularly relates to a distributed cloud computing system and method based on human brain simulation. The system comprises a distributed computing cloud cluster, wherein the cloud node cluster comprises a plurality of cloud nodes; each cloud node has different computing characteristics; according to different computing characteristics, the cloud nodes at least comprise the following three types: an image computing cloud node, a digital computing cloud node and a storage computing cloud node; each cloud node comprises a collection node and a plurality of distributed computing nodes. By simulating the task classification and neural information transmission process of the human brain, efficient distributed computing is achieved, and the efficiency of distributed computing is improved; meanwhile, in the classification and allocation process of the calculation tasks, allocation is conducted according to the resource occupancy rate and the calculation task types, and the allocation accuracy is high.

Description

technical field [0001] The invention belongs to the technical field of cloud computing, and in particular relates to a distributed cloud computing system and method based on human brain simulation. Background technique [0002] In computer science, distributed computing (English: Distributed computing), also translated as distributed computing. This research field mainly studies how distributed systems perform calculations. A distributed system is a system formed by a group of computers that are connected to each other through a network to transmit messages and communicate and coordinate their behavior. Components interact with each other to achieve a common goal. The science of dividing the engineering data that requires a large amount of calculation into small pieces, which are calculated separately by multiple computers, and after uploading the calculation results, the results are unified and combined to draw data conclusions. Examples of distributed systems come from ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/50G06N3/04
CPCG06F9/5027G06F9/5072G06N3/04
Inventor 桑洪升
Owner 乐陵欧曼电子科技有限公司
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