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Performance evaluation system and method for big data analysis

A technology for evaluating systems and big data, applied in the field of big data, can solve problems such as spending too much time and money

Pending Publication Date: 2020-05-12
南京悠淼科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

According to the team of analysts, big data is generally used to describe the large amount of unstructured and semi-structured data created by a company, which takes too much time and money to download to a relational database for analysis

Method used

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  • Performance evaluation system and method for big data analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] Embodiment 1: limited conditions, the data transmitted inside the transmission channel is divided into 5 data segments, the transmission time of the 5 data segments is 6s, 12s, 18s, 24s, 30s respectively, and the throughput of the 5 data segments is set as R In total, set the throughput of each segment as Rm(1), Rm(2), Rm(3), Rm(4), Rm(5), and set the safety rate monitoring in each segment of data to 60 %, 72%, 45%, 81%, 64%, set the signal-to-noise ratio of each data center monitored to be 12.1%, 14.5%, 15.7%, 22%, 19.2%, according to the formula:

[0058] Rm(n)=(1-C n )*T n *P n

[0059] Calculated: Rm(1)=(1-60%)*6s*12.1%=0.29; Rm(2)=(1-72%)*12s*14.5%=0.48; Rm(3)=(1- 45%)*18s*14.5%=1.43; Rm(4)=(1-81%)*24s*22%=1; Rm(5)=(1-64%)*30s*19.2%=2.07;

[0060] According to the formula:

[0061] Rtotal=Rm(1)+Rm(2)+Rm(3)+...+Rm(n-1)+Rm(n)

[0062] Calculated:

[0063] R total = 0.29 + 0.48 + 1.43 + 1 + 2.07 = 5.27

[0064] The total throughput R total 5.27 in the transmi...

Embodiment 2

[0065] Embodiment 2: limited conditions, the data transmitted inside the transmission channel is divided into 5 data segments, the transmission time of the 5 data segments is 24s, 32s, 46s, 52s, 60s respectively, and the throughput of the 5 data segments is set as R In total, set the throughput of each segment as Rm(1), Rm(2), Rm(3), Rm(4), Rm(5), and set the safety rate monitoring in each segment of data to 56 %, 72%, 88%, 61%, and 91%, set the signal-to-noise ratio of each segment of the data center to be 21%, 14.5%, 7.8%, 16.1%, and 23.7%, respectively, according to the formula:

[0066] Rm(n)=(1-C n )*T n *P n

[0067] Calculated: Rm(1)=(1-56%)*24s*21%=2.21; Rm(2)=(1-72%)*32s*14.5%=1.3; Rm(3)=(1- 88%)*46s*7.8%=0.43; Rm(4)=(1-61%)*52s*16.1%=3.26; Rm(5)=(1-91%)*60s*23.7%=1.3;

[0068] According to the formula:

[0069] Rtotal=Rm(1)+Rm(2)+Rm(3)+...+Rm(n-1)+Rm(n)

[0070] Calculated:

[0071] R total=2.21+1.3+0.43+3.26+1.3=8.5;

[0072] The total throughput R total 8....

Embodiment 3

[0073] Embodiment 3: limited conditions, the data transmitted inside the transmission channel is divided into 3 data segments, the transmission time of the 3 data segments is respectively 14s, 37s, and 54s, the throughput of the 3 data segments is set as R total, and the setting The throughput of each section is Rm(1), Rm(2), Rm(3), and the safety rate monitoring in each section of data is set to 12%, 66%, and 88%, respectively, and the monitoring is set to each section The signal-to-noise ratios of the data center are 31%, 17.8%, and 6.1%, respectively, according to the formula:

[0074] Rm(n)=(1-C n )*T n *P n

[0075] Calculated: Rm(1)=(1-12%)*14s*31%=3.81; Rm(2)=(1-68%)*37s*17.8%=2.57; Rm(3)=(1- 88%)*54s*6.1%=0.39;

[0076] According to the formula:

[0077] Rtotal=Rm(1)+Rm(2)+Rm(3)+...+Rm(n-1)+Rm(n)

[0078] Calculated:

[0079] R total = 3.18 + 2.57 + 0.39 = 6.77;

[0080] The total throughput R total 6.77 inside the transmission channel is sent to the data perfor...

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Abstract

The invention discloses a performance evaluation system and method for big data analysis. The system comprises a data performance evaluation module, a transmission channel estimation module, a data monitoring terminal, a big data center and a data conversion module, wherein the data monitoring terminal, the transmission channel estimation module, the data performance evaluation module and the dataconversion module are sequentially connected through an intranet, and the big data center is connected with the data monitoring terminal and the data performance evaluation module through the intranet; the data monitoring module is used for sensing a data source, and determining data to be acquisited; the big data center is used for comparing the received data monitored by the data monitoring terminal with the standard data monitored by the data stored in the standard data storage module to obtain a remote comparison result; the transmission channel estimation module is used for estimating the data in the transmission channel, and the data performance evaluation module is used for carrying out correlation analysis on the data transmitted by the transmission channel estimation module and the pre-established data in the database.

Description

technical field [0001] The invention relates to the field of big data, in particular to a performance evaluation system and method for big data analysis. Background technique [0002] Big data refers to a collection of data that cannot be captured, managed, and processed by conventional software tools within a certain period of time. It is a massive, high-growth rate that requires a new processing model to have stronger decision-making power, insight and discovery, and process optimization capabilities. and diverse information assets. [0003] From a technical point of view, the relationship between big data and cloud computing is as inseparable as the front and back of a coin. Big data cannot be processed by a single computer, and a distributed architecture must be adopted. It is characterized by distributed data mining of massive data. But it must rely on the distributed processing of cloud computing, distributed database and cloud storage, and virtualization technology...

Claims

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Application Information

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IPC IPC(8): G06F11/34G06F16/2458H04L12/24H04L12/26
CPCG06F11/3409G06F16/2465H04L43/0888H04L41/145
Inventor 李雨轩
Owner 南京悠淼科技有限公司