jmx metrics

When doing jmeter testing, if you want to count the disk IO read and write speed, then it is very easy to think of the perfmon Metrics collector this plug-in, but the specific use of the process has the following needs to be noted.1, such as first, need to choose monitoring Read or monitor write, such as to monitor write so long select Writebytes, choose this statistic result has unit, at a glance.2, Filesystem filter must be designated here to monito

Size metrics for Java projects: Micro: Just a person, even half-day work in a few days to complete the software; Small: A person within six months to complete the 2000 lines within the program; Medium: 5 people in more than 1 years of time to complete the 5000-50000-line program; Large: 5-10 people completed in two years of 50000-100000 lines of procedures; Very large: 100-1000 people participated in a 4-5-year completed softw

Open one project/solution in Visual Studio (premium) and use the "analyze> calculate code metrics for solution" menu item to generate the code metrics report. Once calculated, the data can be exported to a data sheet for further analysis (e.g. counting the number of methods whose cyclomatic complexity is greater than 25 ). Note: Cyclomatic complexity (or conditional complexity) is a software metric (meas

Use Windows performance monitor to monitor common SQL Server metrics As mentioned in the above article, Win's Performance Monitor is an essential tool for monitoring database performance. Next I will introduce some common monitoring metrics, which are nothing more than disks, CPUs, memory and other hardware operating indicators include database locks, user connections, and parameter indicators that need to

Performance Metrics)Before we start to travel this book, I must first understand the performance indicators of this book and the results to be optimized. In chapter 2, we will explore more performance testing tools and performance indicators, however, you must use these tools and understand the significance of these performance indicators.The performance metrics of applications vary depending on different b

Skewed classesSkewed classes: The number of a species is much higher (or less than) another class, that is, two extreme cases.Predicting the classification model of cancer, if there is only a 1% classification error on test set, at first glance is a good result, actually if we predict all Y to be 0 (that is, none is cancer), the classification error is 0.5% (because the ratio of cancer is 0.5%). The error is reduced, is this an improvement to the algorithm? Obviously not. Because the latter meth

the ratio of the number of samples to the total number of samples.A = (tp + tn)/(P+N) = (tp + TN)/(TP + FN + FP + TN); It reflects the ability of the classifier to judge the whole sample-positive judgment is positive and negative judgment is negative.2. Confusion matrices (confusion matrix)3. Accuracy rate (Precision), recall rate (Recall) and F1-measureAccuracy rate (Precision):PRE = tp/(TP+FP); Reflects the proportion of the true positive sample in the positive case determined by the classifi

Swap/set"CAS has three operations: current in-memory value V, expected value A, updated value B, only when A==v is updated to B, otherwise nothingTaking Atomiclong as an examplePublic final long Incrementandget () {for (;;) { Long current = Get (); Long Next = current + 1; if (Compareandset (current, next)) return next; } }The Compareandset method calls the native method to implement the CAS operation, where current is a value obt

/down) # method two: Solve X=np.vstack according to the SCIPY library ([x, Y]) d2=pdist (x, ' jaccard " ) Brecotis distance (Bray Curtis Distance)Bray Curtis Distance is mainly used in ecology and environmental science to calculate the distance between coordinates. The distance value is between [0,1]. It can also be used to calculate the differences between samples.Sample data:Calculation:Implementations in Python:Import NumPy as NPimport pdistx=np.array ([11,0,7,8, 0]) Y=np.array ([24,37,5,18,

 The following is a brief list of common recommended system metrics: 1. Accuracy rate and Recall rate (Precision Recall) Accuracy and recall rates are two measures widely used in the field of information retrieval and statistical classification to evaluate the quality of the results. The accuracy is to retrieve the number of related documents and the total number of documents retrieved, to measure the precision of the retrieval system; Recall is t

Usability Checklist, Website usability Detection Tool (http://web.mit.edu/is/usability/usability-guidelines.html)Web content Accessibility Guidelines, accessibility guidance from W3 Web site (http://www.w3.org/TR/WAI-WEBCONTENT/SEO checklist, this humble web page provides amazing value for Google seo (http://www.vaughns-1-pagers.com/internet/google-ranking-factors.htm)SEOMOZ, if you want to find a global SEO's only authority, that's them. (http://www.seomoz.org)22. Point stone Interaction, if y

My team has popularized the use of Codeanalyzer to analyze Code metrics (metric), sharing experience here. The first explanation is that Codeanalyzer is a jar file that you can run, and it can be used to get statistics on our code, and here is a detailed explanation of how to use the tool in conjunction with our development environment. (1) Copy the Code-analyzer- (2) The configuration X-window is as follows, in particular, the input in the command

户平均请求等待时间Time per request:14.972[MS] (mean, across all concurrent requests)#服务器平均请求处理时间Transfer Rate:20.71[kbytes/sec] Received#服务器的数据传输速度 (The data is the server egress bandwidth in the extreme case)Connection Times (MS)minMEAN[+/-SD]Median MaxConnect: + $ 4.8 $ -Processing: A $ 5.0 $ -Waiting: + $ 4.9 $ -Total:Bayi the 9.7 the thePercentage of theRequests servedwithin aCertain Time(MS) -% the #50% of requests completed within 92

PV (Page view) pageviewsViews, or clicks, when visitors visit the site, each time a webpage is opened, it is a PV.UV (unique Visitor) Independent visitorsVisitors to the site within a day of the visit, that is, a UV. Visitors are also credited with multiple visits during the day as a single UV.IpA different IP address in a day to access the site, record the number of different IP. The same IP is one time.Access depthThe depth of the website visit is the number of pages that visitors browse throu

MemoryCpuFlowElectricityStart speedSliding speedInterface switching speedNetwork speed for interacting with the serverExpected standard designation principle: 1) Analysis of competitor's products, all indicator keys are stronger than competing items2) Expected performance data from the product manager3) Meet industry standardsTest methods and tools:1: Memory, test with ADB shell script, view log data. adb shell dump Meminfo2:CPU: Test with adb shell script, view log data, adb shell top3: Traffic

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include images, JavaScript, CSS, Flas objects, RSS feeds, JavaScript files, and so on.Measuring full-page load times is useful for monitoring third-party content, especially ads, but it does not tell you which users have seen the ad. For example, it doesn't tell you where third-party content is loaded faster. But from the user's point of view, these are not problems.The author makes a detailed division and explanation of the response time and page load time of the website, I believe you have a

What this article brings to you is what are the metrics for precedence in CSS? The use of CSS weights introduced, there is a certain reference value, the need for friends can refer to, I hope to help you. I. BACKGROUND There are three main features of CSS: cascading, inheritance , priority . While we are defining styles for CSS, it often appears that two or more rules apply on the same element, and the effect that the element ultimately renders in th

SP are abstract pixels, and Android automatically converts the values of the SP and DP to pixel units at run time.Official conversion formula: pixels = DPS * (ppi/160), the coefficient is ppi/160, for example, for the above 1080p screen, px=dp*441/160, draw a 320dp horizontal line, will occupy the screen of 882/1080On the 160dpi screen (that is, HVGA, since the general pixels are squares, the resolution is the same in the general direction), the conversion factor of DP to PX (pixel density) is

for the report;Groupfooterband (group tail):At the end of each group, or at the bottom of the group, across multiple pages. This band is mainly designed to display summary information for each group;Reportfooterband (end of report):In the report end location. This band is designed to display some of the ultimate information, such as report summaries;Pagefooterband (Footer):At the bottom of each page, below Reportfooterband and above Bottomfooterband, this band is designed to be used for page nu