Method for improving performance tuning speed of distributed system

A distributed system and performance technology, applied in transmission systems, biological neural network models, multi-programming devices, etc., can solve problems such as long measurement time, limited search capability, and reduced measurement time system performance.

Active Publication Date: 2009-12-23
CERTUS NETWORK TECHNANJING
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Problems solved by technology

The above methods have their own advantages and disadvantages, and can improve the overall performance of the system to a certain extent. The common disadvantage is that the measurement time is too long
The experimental results given did reduce the measurement time and improve the sy

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  • Method for improving performance tuning speed of distributed system
  • Method for improving performance tuning speed of distributed system
  • Method for improving performance tuning speed of distributed system

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Embodiment Construction

[0021] Premise: Assume that the distributed computing system we are tuning now contains n parameters {p 1 ,p 2 ,...,p n}, parameter p i The value range of is: [ p i ,p i ], the algorithm is as follows:

[0022] (1) Put all the [ p i ,p i ] linearly quantized into [0, 100].

[0023] (2) Randomly and uniformly take 200 sets of parameters {v in [0, 100] 1，1 , v 2，1 ,...,v n，1}{v 12 , v 22 ,...,v n2},...,{v 1，200 , v 2，200 ,...,v n，200} and linearly quantize it back to the original interval [ p i ,p i ].

[0024] (3) Test the output under the above 200 sets of parameters, and set the response time and throughput rate as (t 1，1 , r 2，1 ), (t 1，2 , r 2，2 ),…, (t 1，200 , r 2，200 ) Use the 200 sets of output results of the test to train a three-layer neural network model with two hidden layers (see Appendix 1 for the principle and analysis process of the model, and also see Neural Network, Chapter 4, page 111, Neural Network edited by Simon Haykin how to us...

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Abstract

A method for improving performance tuning speed of a distributed system belongs to the technical category of performance optimization of a distributed computer system. The method is characterized by comprising the steps of quantizing the parameters with respective numeric area as a uniform parameter set in the distributed system including a web page server, an application programme server and a database server and composed of three-layer servers, obtaining the parameter set through uniform sampling, training by using a three-layer neural network model which comprises two hidden layers and of which each node is a logistic function, then repeatedly sampling, testing new parameters in the neural network to obtain rough response time and rough throughput rate, determining the sequencing performance curve and noise grade of the neural network based on the requirements of the system performance optimization, and finally obtaining the parameters of a regression function according to the set relative performance requirements so as to obtain the desired optimal parametric solution. The invention has the advantages that the invention improves the system performance and synchronously reduces test time.

Description

technical field [0001] The invention belongs to the field of computer performance optimization, in particular to the field of performance optimization of a three-layer server (web server, application program server and database server) system. Background technique [0002] With the continuous increase in the number of online users and the continuous improvement of users' application requirements, many challenges have been brought to the field of distributed system performance tuning. Cluster computing, grid computing, and Saibai platform all use complex distributed systems to meet the different needs of individuals, businesses, and governments in various fields and levels. Today, the cloud computing technology, which is widely respected by the industry and academia and is dedicated to completely changing the existing computer operation mode, has emerged as the times require. Its core idea is to put data in a huge server "cloud" background, and the end users at the front des...

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Application Information

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IPC IPC(8): G06F9/46G06N3/02H04L29/08
Inventor 曹军威张帆
Owner CERTUS NETWORK TECHNANJING
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