lmr tuning

Deploying Automatic System Tuning on Red Hat Linux With the promotion and application of open platform, the open operating system platform represented by Linux has become the preferred choice of system architecture. As a mature operating system, system monitoring optimization is an essential tool component of the Linux platform. After multiple versions of Linux, mature operating system configuration optimization policies have been developed. This arti

result is prone to static error. In order to eliminate this defect, we can combine the fuzzy control algorithm and PID algorithm to get the parameter self-tuning fuzzy PID algorithm.The block diagram of the parametric self-tuning fuzzy-PID algorithm is as follows:　　The concrete implementation measure is to set the initial value of the PID controller (the specific value can refer to the debugging results of

1. One person proposes to causeThis shrimp (153193053) 10:05:01Want to write a tool class to achieve the thread pool automatic tuning, presumably is to collect some relevant indicators, and then use linear regression to predict the optimal settings, you think this is not.2. and wood Recommendations1, collect data;2, data modeling;3. Fast verification with R language, get regression model4, with Weka package introduced to the monitoring programLinear r

For more blog posts, please note: Children without umbrellas must try to run (www.xuchanggang.cn). This script is very good and can be intuitively found that the parameter configuration problems are: www. day32 For more blog posts, please note: Children without umbrellas must try to run (www.xuchanggang.cn). This script is very good and can be intuitively found that the parameter configuration problems are: http: // www. day32 For more blog posts, please note: Children without umbrellas must

High-performance ASP. NET Site build series Article Directories During this time, I reorganized the series of articles, and the previous introduction to performance optimization was not very clear. It can be said that starting from this article, it is the beginning of a complete series. The topics in this chapter are as follows: General performance tuning process Analyze page loading information using analysis tools Analyze performance bottlenecks usi

each time. --Reduce the frequency of full GC (Minor GC maximization principle)B. When dealing with throughput and latency issues, the larger the amount of memory the garbage processor can use, the greater the Java heap memory, the better the garbage collection, and the smoother the application runs.C. Select two of the three performance attributes (throughput, latency, memory footprint) for JVM garbage collector tuning. We call it the "GC

collection threads. -xx:maxgcpausemillis=n: Set maximum pause time for parallel collection -xx:gctimeratio=n: Sets the percentage of time that garbage collection takes to run the program. The formula is 1/(1+n) Concurrent collector Settings -xx:+cmsincrementalmode: Set to incremental mode. Applies to single CPU conditions. -xx:parallelgcthreads=n: Set the concurrency collector the number of CPUs used by the young generation collection method for par

tickets and other positions, and finally his survival situation, in this accident, he died or survived.Don't want to explain, just read the data.importas npimportas pdfromimport RandomForestClassifiertrain = pd.read_csv("E:/train.csv", dtype={"Age": np.float64},)train.head(10)With a little analysis, we can filter out variables related to the survival of a visitor: Pclass, Sex, age, Sibsp,parch,fare, embarked. Generally speaking, the visitor's name, the ticket number purchased for its survival s

Alarm problem:Too many processes onZabbix Poller processes more than 75% busyZabbix unreachable Poller processes more than 75% busy1. The device that collects the data through the Zabbix agent is in the moniting state but at this time the machine freezes or other causes the Zabbix agent to die the server obtains the data, at this time unreachable pollerWill rise.2. The device that collects the data through the Zabbix agent is in the moniting state, but the server gets the data from the agent too

0. The new generation of tuning lawsIncrease the Cenozoic space, Minor GC frequency, Minor GC time rise. Reduced Cenozoic space, Minor GC frequency rise, Minor GC time dropI. Typical problems of the CenozoicTake a look at a GC log: New generation uses parnew, old age using CMS{Heap before GC invocations=0 (full 0): par new generation total 943744K, used 838912K [0x0000000757000000, 0x0000000797 000000, 0x0000000797000000) Eden Space 838912K, 100% used

active data, sometimes called survival data, refers to applications that are in a stable state of operation, Java the size of long-lived objects inside the heap. In other words, The amount of space (memory occupancy) that the Java heap takes up after FULLGC is applied in a state of steady operation. 1 , the importance of active data computingJava The calculation of the applied active data size is what we do JVM an essential process of tuning, if we d

Map-side Tuning parameters Property name Type Default value Description Io.sort.mb Int 100 The size of the memory buffer used when sorting the map output, in M. When the node memory is large, the parameter can be increased to reduce the number of disk writes. Io.sort.record.percent Float 0.05

When Oracle database performance problems occur, it is effort-saving to use the Oracle toolkit and give reasonable optimization suggestions. The following two packages are described and their specific practices. The smallest adjustment tool for SQL Tuning Advisor. Use one or more SQL statements as the input content, analyze all access paths, generate suggestions for improving SQL statements, and propose indexes, materialized views and partition scheme

Check 12 Performance Tuning commands in linuxGuidePerformance Tuning is one of the most important tasks for O M engineers. If your production environment experiences slow system response speed, abnormal hard disk I/O throughput, and the data processing speed is lower than the expected value, or if the CPU, memory, hard disk, network, and other system resources are exhausted for a long time, this article wi

MySQL performance tuning primer script is a simple and easy-to-use mysql optimization tool. In fact, it is a shell script. Download: $ Wget http://www.day32.com/MySQL/tuning-primer.sh Run $ Sh tuning-primer.sh all After running the command, you will be asked about the mysql user name, password, and preferably mysql. You will also be asked whether to automati

IOS Performance Tuning series: use Zombies to dynamically analyze zombie objects in the memory and optimize zombies Hardware wide: The fourth article in the IOS Performance Tuning series, which is expected to be updated continuously over 20 articles. The first two articles, IOS Performance Tuning series: Analyze static analysis and IOS Performance

[Oracle] oracledba6 SQL Tuning sets, oracledba6tuning You want to use the SQL Tuning Advisor to generate recommendation S for badly written SQL statements in your development environment. W Hich three sources can you select for the advisor to analyze? (Choose Three .) A. Top SQL B. snapshots C. SQL Tuning sets D. index access path E. optimizer statistics

Oracle Database 10g Performance Tuning tips and techniques is recommended. For Oracle performance test, diagnosis, analysis, and optimization, see! Chapter 2 Basic index principles (beginner developer and beginner dBA). For Oracle index optimization, refer! Chapter 4 tuning the database with initialization parameters (DBA), optimize the Oracle database by adjusting the initialization parameters Chap

Performance Tuning is not a simple task. There is no omnipotent solution at all, but you can use some basic principles to implement it. In general, performance tuning is the role of DBA. however, DBA does not have time to carefully check every change made to the stored procedure. so learning some basic tuning may help you save the effort of rewriting.CodeTime.I

BEA WebLogic jrockit usage and Performance Tuning 1. Introduction to jrockit OptimizationJrockit is an adaptive JVM that can automatically adjust itself to adapt to the underlying hardware. Therefore, its optimization is mainly focused on parameters that require manual intervention, such: the number of Ram resources to be allocated to jrockit. Jrockit has a set of non-standard-x startup options that we can use to adjust JVM. Jrockit has two major grou