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Common metrics for Android performance testing

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

"7" Zabbix web metrics Monitoring

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Key metrics for measuring Web performance

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 are the metrics for precedence in CSS? Introduction to the use of CSS weights

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

Android Size Metrics

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

Report Designer Report Structure introduction ——— Metrics rapid development Platform

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

Liunx Server Common Monitoring metrics

CPU utilization, indicating that a certain part of the system bottleneck indicates that the system kernel consumes more CPU resources, usually the lower the better, this is not benign performance, we should check the cause.3) Latency (waiting time)The amount of time the CPU spends waiting for the I/O operation to complete. The system department should spend a lot of time waiting for I/O operations, otherwise the I/O has a bottleneck.4) Idle time (idle)The system is in an idle period, waiting fo

Virtual machine Deployment Metrics A workaround for a ora-27101 error on the server side of the rapid development platform

one of the most recent database errors in deploying a system with Hyper-V virtual machines is as follows:1. Stop the Hyper-V of an existing server environment and copy the VHD file .2, create a new virtual machine, select the files to be copied out3. Start a new virtual machine, change the computer name of the virtual machine, and modify the monitoring and service name of the Oracle database. 4. Restart the Oracle instance and listen. 5, connect to the database, found to report the following err

BI Project notes aggregation functions at design time for cube metrics

dimension at the lowest level of granularity, and then averages the values. (non-loophole member) ByAccount-When a cube contains a dimension of an account type, you need to use the aggregate by Account function. The per-account aggregation function for a measure is a property of the dimension accounts member. Non-additive-the value of a parent member cannot be valued by its own. DistinctCount-a non-repeating calculation that counts columns that have no duplicates in the fact t

IIS Monitoring Metrics

information blocks in the cache that IIS Global totals URIs Cached has added to the WWW and FTP services.The rate at which Web trace Requests/sec HTTP requests using the trace method.ASP transactions aborted the number of transactions that have been terminated.ASP Transactions Committed The number of committed transactions.The number of transactions being processed by ASP transactions Pending.ASP transactions total number of transactions since service startup.ASP transactions/sec The number of

"Original" KAKFA metrics package source code Analysis

, Getmbeanname, Startreporter and Stopreporter. It is worth mentioning that in the Init method it creates a subdirectory that defaults to Kafka_metrics. Then determine if the kafka.csv.metrics.reporter.enabled is set to True, if true, call the Startreporter method to open the report, otherwise it will end directly.Wu, Kafkametricsgroup.scalaThe Scala defines a trait and an object. As the kafkametricsgroup trait, as the name implies, this should be a metric group, defined a lot of methods, the ma

Query of various graphics card metrics

Query of various graphics card metrics Why? What is its use? This great list details the performance of each chipset graphics card of each vendor in each period It can provide reference for your engine programmers,What kind of graphics technology is suitable for current use,What Is Too avant-garde and what has become a de facto standard,It can also provide a reference for the engine and graphics technology in what time the product applies. The mai

Measure the test taker's knowledge about the metrics in vmstat by reading the source code.

Measure the test taker's knowledge about the metrics in vmstat by reading the source code. The vmstat-a command can see active memory and inactive memory, but what do they mean? $ vmstat-a procs -----------memory-------------swap-------io-----system--------cpu----- r b swpd free inact active si so bi bo in cs us sy id wa st 1013809631956013724081757848002323109900 Their meanings are described in manpage, but not in detail: inact: the amount of

Machine Learning Similarity Metrics

classification. When the probability of n classification in S is as large (all 1/n), the information entropy takes the maximum value log2 (n). When x has only one classification, the information entropy takes the minimum value of 0References: [1] Wu. The beauty of Mathematics series 12-cosine theorem and the classification of news.Http://www.google.com.hk/ggblog/googlechinablog/2006/07/12_4010.html[2] Wikipedia. Jaccard index.Http://en.wikipedia.org/wiki/Jaccard_index[3] Wikipedia. Hamming dist

Python Calculates AUC metrics

This article and everyone to share is mainly Python to calculate the AUC index related content, together to see it, hope to learn python to help you.1. Installing Scikit-learn1.1scikit-learn Dependency· Python (>= 2.6 or >= 3.3),· NumPy (>= 1.6.1),· SciPy (>= 0.9).View each of the three dependent versions above,Python-v Result: Python 2.7.3Python-c ' Import scipy; Print scipy.version.version ' scipy version results: 0.9.0Python-c "Import numpy; Print numpy.version.version "NumPy Result: 1.10.21.

Python Calculates AUC metrics

1. Installing Scikit-learn1.1scikit-learn Dependency Python (>= 2.6 or >= 3.3), NumPy (>= 1.6.1), SciPy (>= 0.9). View each of the three dependent versions above,Python-v Result: Python 2.7.3Python-c ' Import scipy; Print scipy.version.version ' scipy version results: 0.9.0Python-c "Import numpy; Print numpy.version.version "NumPy Result: 1.10.21.2 Scikit-learn InstallationIf you have installed NumPy, scipy, and Python and all meet the required conditions in 1.1, you can ru

Go LoadRunner 17 metrics for monitoring Linux

Ethernet packets.10, outgoing packets rate:outgoing Ethernet packets per secondThe number of outgoing Ethernet packets per second.11. Page-in Rate:number of pages read to physical memory, per secondThe indicator indicates the number of pages exchanged to physical memory per second.12. Page-out Rate:number of pages written to pagefile (s) and removed from physical memory, per secondRepresents the number of pages per second that are removed from physical memory or written to the page.13. Paging R

MySQL Performance bottleneck analysis, performance indicators, metrics collection methods and performance analysis tuning tools

Label:This paper mainly explains MySQL performance bottleneck analysis, performance indicators, performance index information collection tools and methods, analysis of the use of tuning tools.The article has not been completed, the following is an outline.Performance bottlenecks:SlowPerformance Index:Frequency of VisitsNumber of concurrent connectionsCache Hit RatioIndex useSlow log opening and analysisQuery LogIndicator Information collection:Dstat--mysql5-io--mysql5-cmds--mysql5-keys "See refe

Machine Learning Algorithms Excellence: Metrics

Evaluation algorithm Excellent program, commonly used a series of indicators to measure, mainly including: Precision,recall,f-1 score, why design these values? Can't I use precision alone?1, what is precision?Precison, accuracy, mainly indicates how much of the detected alert is the correct judgment (True POSITIVE,TP).In practice, due to the different proportions of normal and abnormal data in the sample, accuracy can not reflect the real algorithm performance, for example:Cancer detection: It i

Sort comparison Metrics

Indicators that measure the difference of two orders1. Fitness\[F = \frac{1}{z} \sum_j \frac{w_j}{\alpha (|p_i-q_j|+1) + (1-\alpha) p_i} \]which $p _j$ The position of the result of section $j$ in the sorted order $q _j$ The position of the $j$ result of the sorted order in the standard sort $w _j$ the weights on position $j$ in the standard sort $Z $ normalization factor 2. Kendall tau distance (wikipedia)\[k = \frac{2}{n (N-1)} \sum_{i=1}^{n-1} \sum_{j\[k (i,j) = \begin{cases}

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