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Lightweight server-free computing method based on message

A Serverless, Computational Approach Technology Applied to Computing

Active Publication Date: 2020-08-21
北京东方通软件有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current serverless computing model has obvious performance problems due to its own characteristics of container cold start

Method used

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  • Lightweight server-free computing method based on message
  • Lightweight server-free computing method based on message
  • Lightweight server-free computing method based on message

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0091] as attached figure 1 As shown, a message-based lightweight serverless computing method, including:

[0092] Step 100: receive customer message, determine message content and message type;

[0093] The customer information received by the present invention includes three types of description information, behavior information and association information.

[0094] Descriptive information is mainly used to understand the basic attributes of customers, such as: contact information, geographic information and demographic information of individual customers, socioeconomic statistical information of corporate customers, etc. This type of information mainly comes from customer registration information. And the basic customer information collected through the enterprise's operation management system.

[0095] Behavioral information generally includes: customer purchase records of services or products, customer service or product consumption records, customer contact records wit...

Embodiment 2

[0110] As an embodiment of the present invention, said receiving a client message, determining message content and message type includes:

[0111] Based on the synonymous semantic division rule, the customer message is divided into a variety of different message sequences according to the sentence; the synonymous semantic division rule is based on the content meaning of the customer content, and the customer information with the same meaning is divided into one category, each One class is a sequence of messages, and then forms a variety of different message sequences.

[0112] Carry out correlation calculation on different sentences in the same message sequence, and determine the first correlation parameter between different sentences in the same message sequence; in the same message sequence, there will be at least one sentence with the same semantic meaning, then the first correlation parameter is 1; When there are two or more sentences with the same semantics in the same me...

Embodiment 3

[0119] As an embodiment of the present invention, the determination of the required message algorithm and algorithm capture method according to the message content includes:

[0120] Obtain message content, determine feature parameters and feature types; type features include timeliness features, depth features, capacity features, etc., and perform calculation formulas to determine message features according to specific message calculation features.

[0121] According to the feature type, determine the algorithm parameters and demand parameters of the message content corresponding to each feature type; the algorithm parameter is the parameter that can be directly obtained from the message content required for calculation, such as: the capacity of the customer message, that is, the occupied Memory space, parameters of the semantic features of the client message, that is, the expressive meaning of the client message. The demand parameter is a demand parameter that starts from the ...

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Abstract

The invention provides a lightweight server-free computing method based on messages. The method comprises the steps of receiving a client message and determining message content and a message type; determining a required message algorithm and an algorithm capture path according to the message content; according to the message type, determining a grabbing sequence of an algorithm grabbing path; respectively importing the message content into different computing nodes according to the message type within a preset time; matching the algorithm capture path with the computing node, and determiningmatching information; capturing a message algorithm to a computing node according to the matching information and the capturing sequence; and executing no-service calculation according to the capturedmessage algorithm. The method has the beneficial effects that a user can utilize the algorithm flexibility of the server-free computing architecture to meet the current computing requirement througha flexible and standardized algorithm acquisition mode. The calculation cost is effectively saved, and the resource utilization rate is improved.

Description

technical field [0001] The invention relates to the technical field of computing, in particular to a message-based lightweight non-service computing method. Background technique [0002] At present, the development of cloud computing is changing with each passing day, and serverless computing has become an inevitable trend in the development of cloud computing. Serverless computing disassembles the original application and provides more fine-grained service scheduling. It only occupies resources to call the service when there is a request, and does not occupy any resources when there is no request. Billing is based on the number of calls and the duration. Compared with the traditional online service model, serverless computing greatly reduces the user's cost of use, so that users do not need to pay attention to server configuration issues, which simplifies development and provides better scalability than traditional online services. However, the current serverless computing...

Claims

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Application Information

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IPC IPC(8): G06F9/50
CPCG06F9/5027G06F9/5072
Inventor 李志鹏李彦清邹强李利军于滨峰张春林
Owner 北京东方通软件有限公司